diff --git a/README.md b/README.md index 6b92448c..9f3e81bd 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github. ## Features * 3 interface modes: default (two columns), notebook, and chat. -* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [CTransformers](https://github.com/marella/ctransformers), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp). +* Multiple model backends: [Transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp) (through [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)), [ExLlamaV2](https://github.com/turboderp/exllamav2), [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ), [AutoAWQ](https://github.com/casper-hansen/AutoAWQ), [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa), [QuIP#](https://github.com/Cornell-RelaxML/quip-sharp). * Dropdown menu for quickly switching between different models. * Large number of extensions (built-in and user-contributed), including Coqui TTS for realistic voice outputs, Whisper STT for voice inputs, translation, [multimodal pipelines](https://github.com/oobabooga/text-generation-webui/tree/main/extensions/multimodal), vector databases, Stable Diffusion integration, and a lot more. See [the wiki](https://github.com/oobabooga/text-generation-webui/wiki/07-%E2%80%90-Extensions) and [the extensions directory](https://github.com/oobabooga/text-generation-webui-extensions) for details. * [Chat with custom characters](https://github.com/oobabooga/text-generation-webui/wiki/03-%E2%80%90-Parameters-Tab#character). @@ -221,7 +221,7 @@ List of command-line flags | Flag | Description | |--------------------------------------------|-------------| -| `--loader LOADER` | Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, ctransformers, QuIP#. | +| `--loader LOADER` | Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, QuIP#. | #### Accelerate/transformers @@ -308,12 +308,6 @@ List of command-line flags | `--checkpoint CHECKPOINT` | The path to the quantized checkpoint file. If not specified, it will be automatically detected. | | `--monkey-patch` | Apply the monkey patch for using LoRAs with quantized models. | -#### ctransformers - -| Flag | Description | -|-------------|-------------| -| `--model_type MODEL_TYPE` | Model type of pre-quantized model. Currently gpt2, gptj, gptneox, falcon, llama, mpt, starcoder (gptbigcode), dollyv2, and replit are supported. | - #### HQQ | Flag | Description | diff --git a/css/html_4chan_style.css b/css/html_4chan_style.css deleted file mode 100644 index afbfb537..00000000 --- a/css/html_4chan_style.css +++ /dev/null @@ -1,73 +0,0 @@ -#parent #container { - background-color: #eef2ff; - padding: 17px; -} - -#parent #container .reply { - background-color: rgb(214 218 240); - border-bottom: 1px solid rgb(183 197 217); - border-image: none 100% 1 0 stretch; - border-left: 0 none rgb(0 0 0); - border-right: 1px solid rgb(183 197 217); - color: rgb(0 0 0); - display: table; - font-family: arial, helvetica, sans-serif; - font-size: 13.3333px; - margin: 4px 0; - overflow: hidden hidden; - padding: 4px 2px; -} - -#parent #container .number { - color: rgb(0 0 0); - font-family: arial, helvetica, sans-serif; - font-size: 13.3333px; - width: 342.65px; - margin-right: 7px; -} - -#parent #container .op { - color: rgb(0 0 0); - font-family: arial, helvetica, sans-serif; - font-size: 13.3333px; - margin: 4px 0 8px; - overflow: hidden hidden; -} - -#parent #container .op blockquote { - margin-left: 0 !important; -} - -#parent #container .name { - color: rgb(17 119 67); - font-family: arial, helvetica, sans-serif; - font-size: 13.3333px; - font-weight: 700; - margin-left: 7px; -} - -#parent #container .quote { - color: rgb(221 0 0); - font-family: arial, helvetica, sans-serif; - font-size: 13.3333px; - text-decoration: underline solid rgb(221 0 0); - text-decoration-thickness: auto; -} - -#parent #container .greentext { - color: rgb(120 153 34); - font-family: arial, helvetica, sans-serif; - font-size: 13.3333px; -} - -#parent #container blockquote { - margin: 0 !important; - margin-block: 1em 1em; - margin-inline: 40px 40px; - margin: 13.33px 40px !important; -} - -#parent #container .message_4chan { - color: black; - border: none; -} \ No newline at end of file diff --git a/docs/04 - Model Tab.md b/docs/04 - Model Tab.md index 05b85b48..7c168e89 100644 --- a/docs/04 - Model Tab.md +++ b/docs/04 - Model Tab.md @@ -105,12 +105,6 @@ It has an additional parameter: * **logits_all**: Needs to be checked if you want to evaluate the perplexity of the llama.cpp model using the "Training" > "Perplexity evaluation" tab. Otherwise, leave it unchecked, as it makes prompt processing slower. -### ctransformers - -Loads: GGUF/GGML models. - -Similar to llama.cpp but it works for certain GGUF/GGML models not originally supported by llama.cpp like Falcon, StarCoder, StarChat, and GPT-J. - ### AutoAWQ Loads: AWQ models. diff --git a/docs/08 - Additional Tips.md b/docs/08 - Additional Tips.md index 7ad00ee3..89675cca 100644 --- a/docs/08 - Additional Tips.md +++ b/docs/08 - Additional Tips.md @@ -13,29 +13,6 @@ Source: https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/1126 This file will be automatically detected the next time you start the web UI. -## GPT-4chan - -[GPT-4chan](https://huggingface.co/ykilcher/gpt-4chan) has been shut down from Hugging Face, so you need to download it elsewhere. You have two options: - -* Torrent: [16-bit](https://archive.org/details/gpt4chan_model_float16) / [32-bit](https://archive.org/details/gpt4chan_model) -* Direct download: [16-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model_float16/) / [32-bit](https://theswissbay.ch/pdf/_notpdf_/gpt4chan_model/) - -The 32-bit version is only relevant if you intend to run the model in CPU mode. Otherwise, you should use the 16-bit version. - -After downloading the model, follow these steps: - -1. Place the files under `models/gpt4chan_model_float16` or `models/gpt4chan_model`. -2. Place GPT-J 6B's config.json file in that same folder: [config.json](https://huggingface.co/EleutherAI/gpt-j-6B/raw/main/config.json). -3. Download GPT-J 6B's tokenizer files (they will be automatically detected when you attempt to load GPT-4chan): - -``` -python download-model.py EleutherAI/gpt-j-6B --text-only -``` - -When you load this model in default or notebook modes, the "HTML" tab will show the generated text in 4chan format: - -![Image3](https://github.com/oobabooga/screenshots/raw/main/gpt4chan.png) - ## Using LoRAs with GPTQ-for-LLaMa This requires using a monkey patch that is supported by this web UI: https://github.com/johnsmith0031/alpaca_lora_4bit diff --git a/docs/What Works.md b/docs/What Works.md index 354da1dd..6c0d4c84 100644 --- a/docs/What Works.md +++ b/docs/What Works.md @@ -10,7 +10,6 @@ | AutoGPTQ | ✅ | ❌ | ❌ | ✅ | ✅ | | AutoAWQ | ? | ❌ | ? | ? | ✅ | | GPTQ-for-LLaMa | ✅\*\* | ✅\*\*\* | ✅ | ✅ | ✅ | -| ctransformers | ❌ | ❌ | ❌ | ❌ | ❌ | | QuIP# | ? | ? | ? | ? | ✅ | | HQQ | ? | ? | ? | ? | ✅ | diff --git a/modules/ctransformers_model.py b/modules/ctransformers_model.py deleted file mode 100644 index 70ce92f5..00000000 --- a/modules/ctransformers_model.py +++ /dev/null @@ -1,79 +0,0 @@ -from ctransformers import AutoConfig, AutoModelForCausalLM - -from modules import shared -from modules.callbacks import Iteratorize -from modules.logging_colors import logger - - -class CtransformersModel: - def __init__(self): - pass - - @classmethod - def from_pretrained(cls, path): - result = cls() - - config = AutoConfig.from_pretrained( - str(path), - threads=shared.args.threads if shared.args.threads != 0 else -1, - gpu_layers=shared.args.n_gpu_layers, - batch_size=shared.args.n_batch, - context_length=shared.args.n_ctx, - stream=True, - mmap=not shared.args.no_mmap, - mlock=shared.args.mlock - ) - - result.model = AutoModelForCausalLM.from_pretrained( - str(result.model_dir(path) if result.model_type_is_auto() else path), - model_type=(None if result.model_type_is_auto() else shared.args.model_type), - config=config - ) - - logger.info(f'Using ctransformers model_type: {result.model.model_type} for {result.model.model_path}') - return result, result - - def model_type_is_auto(self): - return shared.args.model_type is None or shared.args.model_type == "Auto" or shared.args.model_type == "None" - - def model_dir(self, path): - if path.is_file(): - return path.parent - - return path - - def encode(self, string, **kwargs): - return self.model.tokenize(string) - - def decode(self, ids): - return self.model.detokenize(ids) - - def generate(self, prompt, state, callback=None): - prompt = prompt if type(prompt) is str else prompt.decode() - # ctransformers uses -1 for random seed - generator = self.model( - prompt=prompt, - max_new_tokens=state['max_new_tokens'], - temperature=state['temperature'], - top_p=state['top_p'], - top_k=state['top_k'], - repetition_penalty=state['repetition_penalty'], - last_n_tokens=state['repetition_penalty_range'], - seed=int(state['seed']) - ) - - output = "" - for token in generator: - if callback: - callback(token) - - output += token - - return output - - def generate_with_streaming(self, *args, **kwargs): - with Iteratorize(self.generate, args, kwargs, callback=None) as generator: - reply = '' - for token in generator: - reply += token - yield reply diff --git a/modules/html_generator.py b/modules/html_generator.py index 278f1632..2be53fc8 100644 --- a/modules/html_generator.py +++ b/modules/html_generator.py @@ -16,8 +16,6 @@ image_cache = {} with open(Path(__file__).resolve().parent / '../css/html_readable_style.css', 'r') as f: readable_css = f.read() -with open(Path(__file__).resolve().parent / '../css/html_4chan_style.css', 'r') as css_f: - _4chan_css = css_f.read() with open(Path(__file__).resolve().parent / '../css/html_instruct_style.css', 'r') as f: instruct_css = f.read() @@ -118,63 +116,6 @@ def generate_basic_html(string): return string -def process_post(post, c): - t = post.split('\n') - number = t[0].split(' ')[1] - if len(t) > 1: - src = '\n'.join(t[1:]) - else: - src = '' - src = re.sub('>', '>', src) - src = re.sub('(>>[0-9]*)', '\\1', src) - src = re.sub('\n', '
\n', src) - src = f'
{src}\n' - src = f'Anonymous No.{number}\n{src}' - return src - - -def generate_4chan_html(f): - posts = [] - post = '' - c = -2 - for line in f.splitlines(): - line += "\n" - if line == '-----\n': - continue - elif line.startswith('--- '): - c += 1 - if post != '': - src = process_post(post, c) - posts.append(src) - post = line - else: - post += line - - if post != '': - src = process_post(post, c) - posts.append(src) - - for i in range(len(posts)): - if i == 0: - posts[i] = f'
{posts[i]}
\n' - else: - posts[i] = f'
{posts[i]}
\n' - - output = '' - output += f'
' - for post in posts: - output += post - - output += '
' - output = output.split('\n') - for i in range(len(output)): - output[i] = re.sub(r'^(>(.*?)(
|))', r'\1', output[i]) - output[i] = re.sub(r'^
(>(.*?)(
|))', r'
\1', output[i]) - - output = '\n'.join(output) - return output - - def make_thumbnail(image): image = image.resize((350, round(image.size[1] / image.size[0] * 350)), Image.Resampling.LANCZOS) if image.size[1] > 470: diff --git a/modules/loaders.py b/modules/loaders.py index 60fe8aa6..23477339 100644 --- a/modules/loaders.py +++ b/modules/loaders.py @@ -138,15 +138,6 @@ loaders_and_params = OrderedDict({ 'no_use_fast', 'gptq_for_llama_info', ], - 'ctransformers': [ - 'n_ctx', - 'n_gpu_layers', - 'n_batch', - 'threads', - 'model_type', - 'no_mmap', - 'mlock' - ], 'QuIP#': [ 'trust_remote_code', 'no_use_fast', @@ -332,13 +323,6 @@ loaders_samplers = { 'skip_special_tokens', 'auto_max_new_tokens', }, - 'ctransformers': { - 'temperature', - 'top_p', - 'top_k', - 'repetition_penalty', - 'repetition_penalty_range', - }, } loaders_model_types = { @@ -348,19 +332,6 @@ loaders_model_types = { "opt", "gptj" ], - 'ctransformers': [ - "None", - "gpt2", - "gptj", - "gptneox", - "llama", - "mpt", - "dollyv2", - "replit", - "starcoder", - "gptbigcode", - "falcon" - ], } diff --git a/modules/models.py b/modules/models.py index 60568063..cccf1d2d 100644 --- a/modules/models.py +++ b/modules/models.py @@ -67,7 +67,6 @@ def load_model(model_name, loader=None): 'llamacpp_HF': llamacpp_HF_loader, 'ExLlamav2': ExLlamav2_loader, 'ExLlamav2_HF': ExLlamav2_HF_loader, - 'ctransformers': ctransformers_loader, 'AutoAWQ': AutoAWQ_loader, 'QuIP#': QuipSharp_loader, 'HQQ': HQQ_loader, @@ -97,7 +96,7 @@ def load_model(model_name, loader=None): shared.settings.update({k: v for k, v in metadata.items() if k in shared.settings}) if loader.lower().startswith('exllama'): shared.settings['truncation_length'] = shared.args.max_seq_len - elif loader in ['llama.cpp', 'llamacpp_HF', 'ctransformers']: + elif loader in ['llama.cpp', 'llamacpp_HF']: shared.settings['truncation_length'] = shared.args.n_ctx logger.info(f"LOADER: \"{loader}\"") @@ -110,9 +109,7 @@ def load_model(model_name, loader=None): def load_tokenizer(model_name, model): tokenizer = None path_to_model = Path(f"{shared.args.model_dir}/{model_name}/") - if any(s in model_name.lower() for s in ['gpt-4chan', 'gpt4chan']) and Path(f"{shared.args.model_dir}/gpt-j-6B/").exists(): - tokenizer = AutoTokenizer.from_pretrained(Path(f"{shared.args.model_dir}/gpt-j-6B/")) - elif path_to_model.exists(): + if path_to_model.exists(): if shared.args.no_use_fast: logger.info('Loading the tokenizer with use_fast=False.') @@ -148,17 +145,18 @@ def huggingface_loader(model_name): else: LoaderClass = AutoModelForCausalLM - # Load the model in simple 16-bit mode by default + # Load the model without any special settings if not any([shared.args.cpu, shared.args.load_in_8bit, shared.args.load_in_4bit, shared.args.auto_devices, shared.args.disk, shared.args.deepspeed, shared.args.gpu_memory is not None, shared.args.cpu_memory is not None, shared.args.compress_pos_emb > 1, shared.args.alpha_value > 1, shared.args.disable_exllama, shared.args.disable_exllamav2]): model = LoaderClass.from_pretrained(path_to_model, **params) - if torch.backends.mps.is_available(): - device = torch.device('mps') - model = model.to(device) - elif is_xpu_available(): - device = torch.device("xpu") - model = model.to(device) - else: - model = model.cuda() + if not (hasattr(model, 'is_loaded_in_4bit') and model.is_loaded_in_4bit): + if torch.backends.mps.is_available(): + device = torch.device('mps') + model = model.to(device) + elif is_xpu_available(): + device = torch.device("xpu") + model = model.to(device) + else: + model = model.cuda() # DeepSpeed ZeRO-3 elif shared.args.deepspeed: @@ -267,33 +265,6 @@ def llamacpp_HF_loader(model_name): return model -def ctransformers_loader(model_name): - from modules.ctransformers_model import CtransformersModel - - path = Path(f'{shared.args.model_dir}/{model_name}') - ctrans = CtransformersModel() - if ctrans.model_type_is_auto(): - model_file = path - else: - if path.is_file(): - model_file = path - else: - entries = Path(f'{shared.args.model_dir}/{model_name}') - gguf = list(entries.glob('*.gguf')) - bin = list(entries.glob('*.bin')) - if len(gguf) > 0: - model_file = gguf[0] - elif len(bin) > 0: - model_file = bin[0] - else: - logger.error("Could not find a model for ctransformers.") - return None, None - - logger.info(f'ctransformers weights detected: \"{model_file}\"') - model, tokenizer = ctrans.from_pretrained(model_file) - return model, tokenizer - - def AutoAWQ_loader(model_name): from awq import AutoAWQForCausalLM diff --git a/modules/models_settings.py b/modules/models_settings.py index 659bc35d..12a2db82 100644 --- a/modules/models_settings.py +++ b/modules/models_settings.py @@ -48,7 +48,7 @@ def get_model_metadata(model): model_settings['loader'] = loader # GGUF metadata - if model_settings['loader'] in ['llama.cpp', 'llamacpp_HF', 'ctransformers']: + if model_settings['loader'] in ['llama.cpp', 'llamacpp_HF']: path = Path(f'{shared.args.model_dir}/{model}') if path.is_file(): model_file = path @@ -77,18 +77,22 @@ def get_model_metadata(model): # Transformers metadata if hf_metadata is not None: metadata = json.loads(open(path, 'r', encoding='utf-8').read()) - if 'max_position_embeddings' in metadata: - model_settings['truncation_length'] = metadata['max_position_embeddings'] - model_settings['max_seq_len'] = metadata['max_position_embeddings'] + for k in ['max_position_embeddings', 'max_seq_len']: + if k in metadata: + model_settings['truncation_length'] = metadata[k] + model_settings['max_seq_len'] = metadata[k] if 'rope_theta' in metadata: model_settings['rope_freq_base'] = metadata['rope_theta'] + elif 'attn_config' in metadata and 'rope_theta' in metadata['attn_config']: + model_settings['rope_freq_base'] = metadata['attn_config']['rope_theta'] if 'rope_scaling' in metadata and type(metadata['rope_scaling']) is dict and all(key in metadata['rope_scaling'] for key in ('type', 'factor')): if metadata['rope_scaling']['type'] == 'linear': model_settings['compress_pos_emb'] = metadata['rope_scaling']['factor'] - if 'quantization_config' in metadata: + # Read GPTQ metadata for old GPTQ loaders + if 'quantization_config' in metadata and metadata['quantization_config'].get('quant_method', '') != 'exl2': if 'bits' in metadata['quantization_config']: model_settings['wbits'] = metadata['quantization_config']['bits'] if 'group_size' in metadata['quantization_config']: @@ -227,7 +231,7 @@ def apply_model_settings_to_state(model, state): loader = model_settings.pop('loader') # If the user is using an alternative loader for the same model type, let them keep using it - if not (loader == 'ExLlamav2_HF' and state['loader'] in ['GPTQ-for-LLaMa', 'ExLlamav2', 'AutoGPTQ']) and not (loader == 'llama.cpp' and state['loader'] in ['ctransformers']): + if not (loader == 'ExLlamav2_HF' and state['loader'] in ['GPTQ-for-LLaMa', 'ExLlamav2', 'AutoGPTQ']): state['loader'] = loader for k in model_settings: diff --git a/modules/shared.py b/modules/shared.py index ecfdb3be..a48b281c 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -88,7 +88,7 @@ group.add_argument('--chat-buttons', action='store_true', help='Show buttons on # Model loader group = parser.add_argument_group('Model loader') -group.add_argument('--loader', type=str, help='Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, ctransformers, QuIP#.') +group.add_argument('--loader', type=str, help='Choose the model loader manually, otherwise, it will get autodetected. Valid options: Transformers, llama.cpp, llamacpp_HF, ExLlamav2_HF, ExLlamav2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, QuIP#.') # Transformers/Accelerate group = parser.add_argument_group('Transformers/Accelerate') @@ -259,8 +259,6 @@ def fix_loader_name(name): return 'ExLlamav2' elif name in ['exllamav2-hf', 'exllamav2_hf', 'exllama-v2-hf', 'exllama_v2_hf', 'exllama-v2_hf', 'exllama2-hf', 'exllama2_hf', 'exllama-2-hf', 'exllama_2_hf', 'exllama-2_hf']: return 'ExLlamav2_HF' - elif name in ['ctransformers', 'ctranforemrs', 'ctransformer']: - return 'ctransformers' elif name in ['autoawq', 'awq', 'auto-awq']: return 'AutoAWQ' elif name in ['quip#', 'quip-sharp', 'quipsharp', 'quip_sharp']: diff --git a/modules/text_generation.py b/modules/text_generation.py index 43488852..f99c605e 100644 --- a/modules/text_generation.py +++ b/modules/text_generation.py @@ -22,7 +22,7 @@ from modules.callbacks import ( from modules.extensions import apply_extensions from modules.grammar.grammar_utils import initialize_grammar from modules.grammar.logits_process import GrammarConstrainedLogitsProcessor -from modules.html_generator import generate_4chan_html, generate_basic_html +from modules.html_generator import generate_basic_html from modules.logging_colors import logger from modules.models import clear_torch_cache, local_rank @@ -46,7 +46,7 @@ def _generate_reply(question, state, stopping_strings=None, is_chat=False, escap yield '' return - if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model', 'CtransformersModel']: + if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model']: generate_func = generate_reply_custom else: generate_func = generate_reply_HF @@ -114,7 +114,7 @@ def encode(prompt, add_special_tokens=True, add_bos_token=True, truncation_lengt if shared.tokenizer is None: raise ValueError('No tokenizer is loaded') - if shared.model.__class__.__name__ in ['LlamaCppModel', 'CtransformersModel', 'Exllamav2Model']: + if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model']: input_ids = shared.tokenizer.encode(str(prompt)) if shared.model.__class__.__name__ not in ['Exllamav2Model']: input_ids = np.array(input_ids).reshape(1, len(input_ids)) @@ -128,7 +128,7 @@ def encode(prompt, add_special_tokens=True, add_bos_token=True, truncation_lengt if truncation_length is not None: input_ids = input_ids[:, -truncation_length:] - if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model', 'CtransformersModel'] or shared.args.cpu: + if shared.model.__class__.__name__ in ['LlamaCppModel', 'Exllamav2Model'] or shared.args.cpu: return input_ids elif shared.args.deepspeed: return input_ids.to(device=local_rank) @@ -186,23 +186,7 @@ def generate_reply_wrapper(question, state, stopping_strings=None): def formatted_outputs(reply, model_name): - if any(s in model_name for s in ['gpt-4chan', 'gpt4chan']): - reply = fix_gpt4chan(reply) - return html.unescape(reply), generate_4chan_html(reply) - else: - return html.unescape(reply), generate_basic_html(reply) - - -def fix_gpt4chan(s): - """ - Removes empty replies from gpt4chan outputs - """ - for i in range(10): - s = re.sub("--- [0-9]*\n>>[0-9]*\n---", "---", s) - s = re.sub("--- [0-9]*\n *\n---", "---", s) - s = re.sub("--- [0-9]*\n\n\n---", "---", s) - - return s + return html.unescape(reply), generate_basic_html(reply) def fix_galactica(s): diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py index 9f2729e2..8d6122d2 100644 --- a/modules/ui_model_menu.py +++ b/modules/ui_model_menu.py @@ -330,7 +330,7 @@ def update_truncation_length(current_length, state): if 'loader' in state: if state['loader'].lower().startswith('exllama'): return state['max_seq_len'] - elif state['loader'] in ['llama.cpp', 'llamacpp_HF', 'ctransformers']: + elif state['loader'] in ['llama.cpp', 'llamacpp_HF']: return state['n_ctx'] return current_length diff --git a/prompts/GPT-4chan.txt b/prompts/GPT-4chan.txt deleted file mode 100644 index 1bc8c7f4..00000000 --- a/prompts/GPT-4chan.txt +++ /dev/null @@ -1,6 +0,0 @@ ------ ---- 865467536 -Hello, AI frens! -How are you doing on this fine day? ---- 865467537 - diff --git a/requirements.txt b/requirements.txt index 510a6b17..25efdf53 100644 --- a/requirements.txt +++ b/requirements.txt @@ -33,33 +33,33 @@ sse-starlette==1.6.5 tiktoken # llama-cpp-python (CPU only, AVX2) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" # llama-cpp-python (CUDA, no tensor cores) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" # llama-cpp-python (CUDA, tensor cores) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" # CUDA wheels https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64" https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" https://github.com/Dao-AILab/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2cxx11abiFALSE-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" @@ -68,5 +68,4 @@ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX2/ctransformers-0.2.27+cu121-py3-none-any.whl autoawq==0.2.3; platform_system == "Linux" or platform_system == "Windows" diff --git a/requirements_amd.txt b/requirements_amd.txt index 39b5119b..da4be15e 100644 --- a/requirements_amd.txt +++ b/requirements_amd.txt @@ -31,19 +31,19 @@ sse-starlette==1.6.5 tiktoken # llama-cpp-python (CPU only, AVX2) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" # AMD wheels -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.56+rocm5.6.1-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.56+rocm5.6.1-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.59+rocm5.6.1-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/rocm/llama_cpp_python_cuda-0.2.59+rocm5.6.1-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.3/autoawq-0.2.3+rocm561-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" diff --git a/requirements_amd_noavx2.txt b/requirements_amd_noavx2.txt index 7aef1cdd..634f71f1 100644 --- a/requirements_amd_noavx2.txt +++ b/requirements_amd_noavx2.txt @@ -31,17 +31,17 @@ sse-starlette==1.6.5 tiktoken # llama-cpp-python (CPU only, no AVX2) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" # AMD wheels https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system != "Darwin" and platform_machine != "x86_64" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+rocm5.6-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.3/autoawq-0.2.3+rocm561-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" diff --git a/requirements_apple_intel.txt b/requirements_apple_intel.txt index 8c99dbe6..e6464999 100644 --- a/requirements_apple_intel.txt +++ b/requirements_apple_intel.txt @@ -31,10 +31,10 @@ sse-starlette==1.6.5 tiktoken # Mac wheels -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.14/exllamav2-0.0.14-py3-none-any.whl +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_11_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_12_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_14_0_x86_64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl diff --git a/requirements_apple_silicon.txt b/requirements_apple_silicon.txt index cc46f1a5..6af07357 100644 --- a/requirements_apple_silicon.txt +++ b/requirements_apple_silicon.txt @@ -31,12 +31,12 @@ sse-starlette==1.6.5 tiktoken # Mac wheels -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp311-cp311-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.56-cp310-cp310-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.14/exllamav2-0.0.14-py3-none-any.whl +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_11_0_arm64.whl; platform_system == "Darwin" and platform_release >= "20.0.0" and platform_release < "21.0.0" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_12_0_arm64.whl; platform_system == "Darwin" and platform_release >= "21.0.0" and platform_release < "22.0.0" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_13_0_arm64.whl; platform_system == "Darwin" and platform_release >= "22.0.0" and platform_release < "23.0.0" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp311-cp311-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.59-cp310-cp310-macosx_14_0_arm64.whl; platform_system == "Darwin" and platform_release >= "23.0.0" and platform_release < "24.0.0" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl diff --git a/requirements_cpu_only.txt b/requirements_cpu_only.txt index a58e3d18..599944f0 100644 --- a/requirements_cpu_only.txt +++ b/requirements_cpu_only.txt @@ -31,7 +31,7 @@ sse-starlette==1.6.5 tiktoken # llama-cpp-python (CPU only, AVX2) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx2-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" diff --git a/requirements_cpu_only_noavx2.txt b/requirements_cpu_only_noavx2.txt index b615f644..be0c4976 100644 --- a/requirements_cpu_only_noavx2.txt +++ b/requirements_cpu_only_noavx2.txt @@ -31,7 +31,7 @@ sse-starlette==1.6.5 tiktoken # llama-cpp-python (CPU only, no AVX2) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" diff --git a/requirements_noavx2.txt b/requirements_noavx2.txt index 652cc638..60cd75d5 100644 --- a/requirements_noavx2.txt +++ b/requirements_noavx2.txt @@ -33,33 +33,33 @@ sse-starlette==1.6.5 tiktoken # llama-cpp-python (CPU only, no AVX2) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.56+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.59+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" # llama-cpp-python (CUDA, no tensor cores) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.56+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.59+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" # llama-cpp-python (CUDA, tensor cores) -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.56+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp311-cp311-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.59+cu121avx-cp310-cp310-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" # CUDA wheels https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/AutoGPTQ/releases/download/v0.6.0/auto_gptq-0.6.0+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/oobabooga/exllamav2/releases/download/v0.0.15/exllamav2-0.0.15-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.17/exllamav2-0.0.17-py3-none-any.whl; platform_system == "Linux" and platform_machine != "x86_64" https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" https://github.com/oobabooga/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2.0cxx11abiFALSE-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" https://github.com/Dao-AILab/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2cxx11abiFALSE-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" @@ -68,5 +68,4 @@ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_ https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" -https://github.com/jllllll/ctransformers-cuBLAS-wheels/releases/download/AVX/ctransformers-0.2.27+cu121-py3-none-any.whl autoawq==0.2.3; platform_system == "Linux" or platform_system == "Windows"