mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-22 08:07:56 +01:00
Merge branch 'dev' into style_improvements
This commit is contained in:
Lounger
commit
a098c7eee3
@ -252,6 +252,7 @@ List of command-line flags
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| Flag | Description |
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|-------------|-------------|
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| `--tensorcores` | Use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards. NVIDIA only. |
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| `--n_ctx N_CTX` | Size of the prompt context. |
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| `--threads` | Number of threads to use. |
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| `--threads-batch THREADS_BATCH` | Number of threads to use for batches/prompt processing. |
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@ -6,27 +6,13 @@ import time
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from pathlib import Path
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import gradio as gr
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from TTS.api import TTS
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from TTS.utils.synthesizer import Synthesizer
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from modules import chat, shared, ui_chat
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from modules.logging_colors import logger
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from modules.ui import create_refresh_button
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from modules.utils import gradio
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try:
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from TTS.api import TTS
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from TTS.utils.synthesizer import Synthesizer
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except ModuleNotFoundError:
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logger.error(
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"Could not find the TTS module. Make sure to install the requirements for the coqui_tts extension."
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"\n"
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"\nLinux / Mac:\npip install -r extensions/coqui_tts/requirements.txt\n"
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"\nWindows:\npip install -r extensions\\coqui_tts\\requirements.txt\n"
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"\n"
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"If you used the one-click installer, paste the command above in the terminal window launched after running the \"cmd_\" script. On Windows, that's \"cmd_windows.bat\"."
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)
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raise
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os.environ["COQUI_TOS_AGREED"] = "1"
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params = {
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@ -1,5 +1,6 @@
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import asyncio
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import json
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import logging
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import os
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import traceback
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from threading import Thread
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@ -367,6 +368,7 @@ def run_server():
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if shared.args.admin_key and shared.args.admin_key != shared.args.api_key:
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logger.info(f'OpenAI API admin key (for loading/unloading models):\n\n{shared.args.admin_key}\n')
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logging.getLogger("uvicorn.error").propagate = False
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uvicorn.run(app, host=server_addr, port=port, ssl_certfile=ssl_certfile, ssl_keyfile=ssl_keyfile)
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@ -126,7 +126,7 @@ def load_quantized(model_name):
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path_to_model = Path(f'{shared.args.model_dir}/{model_name}')
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pt_path = find_quantized_model_file(model_name)
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if not pt_path:
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logger.error("Could not find the quantized model in .pt or .safetensors format, exiting...")
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logger.error("Could not find the quantized model in .pt or .safetensors format. Exiting.")
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exit()
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else:
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logger.info(f"Found the following quantized model: {pt_path}")
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@ -53,7 +53,10 @@ def add_lora_exllama(lora_names):
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lora_path = get_lora_path(lora_names[0])
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lora_config_path = lora_path / "adapter_config.json"
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lora_adapter_path = lora_path / "adapter_model.bin"
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for file_name in ["adapter_model.safetensors", "adapter_model.bin"]:
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file_path = lora_path / file_name
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if file_path.is_file():
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lora_adapter_path = file_path
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logger.info("Applying the following LoRAs to {}: {}".format(shared.model_name, ', '.join([lora_names[0]])))
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if shared.model.__class__.__name__ == 'ExllamaModel':
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@ -138,7 +141,7 @@ def add_lora_transformers(lora_names):
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# Add a LoRA when another LoRA is already present
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if len(removed_set) == 0 and len(prior_set) > 0 and "__merged" not in shared.model.peft_config.keys():
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logger.info(f"Adding the LoRA(s) named {added_set} to the model...")
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logger.info(f"Adding the LoRA(s) named {added_set} to the model")
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for lora in added_set:
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shared.model.load_adapter(get_lora_path(lora), lora)
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@ -95,7 +95,8 @@ def generate_chat_prompt(user_input, state, **kwargs):
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else:
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renderer = chat_renderer
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if state['context'].strip() != '':
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messages.append({"role": "system", "content": state['context']})
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context = replace_character_names(state['context'], state['name1'], state['name2'])
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messages.append({"role": "system", "content": context})
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insert_pos = len(messages)
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for user_msg, assistant_msg in reversed(history):
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@ -768,13 +769,13 @@ def delete_character(name, instruct=False):
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def jinja_template_from_old_format(params, verbose=False):
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MASTER_TEMPLATE = """
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{%- set found_item = false -%}
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{%- set ns = namespace(found=false) -%}
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{%- for message in messages -%}
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{%- if message['role'] == 'system' -%}
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{%- set found_item = true -%}
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{%- set ns.found = true -%}
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{%- endif -%}
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{%- endfor -%}
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{%- if not found_item -%}
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{%- if not ns.found -%}
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{{- '<|PRE-SYSTEM|>' + '<|SYSTEM-MESSAGE|>' + '<|POST-SYSTEM|>' -}}
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{%- endif %}
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{%- for message in messages %}
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@ -1,4 +1,3 @@
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import random
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import traceback
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from pathlib import Path
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@ -10,7 +9,7 @@ from exllamav2 import (
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ExLlamaV2Config,
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ExLlamaV2Tokenizer
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)
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from exllamav2.generator import ExLlamaV2BaseGenerator, ExLlamaV2Sampler
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from exllamav2.generator import ExLlamaV2Sampler, ExLlamaV2StreamingGenerator
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from modules import shared
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from modules.logging_colors import logger
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@ -64,7 +63,7 @@ class Exllamav2Model:
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else:
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cache = ExLlamaV2Cache(model)
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generator = ExLlamaV2BaseGenerator(model, cache, tokenizer)
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generator = ExLlamaV2StreamingGenerator(model, cache, tokenizer)
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result = self()
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result.model = model
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@ -115,41 +114,21 @@ class Exllamav2Model:
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ids = self.tokenizer.encode(prompt, add_bos=state['add_bos_token'], encode_special_tokens=True)
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ids = ids[:, -get_max_prompt_length(state):]
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initial_len = ids.shape[-1]
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if state['auto_max_new_tokens']:
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max_new_tokens = state['truncation_length'] - ids.shape[-1]
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else:
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max_new_tokens = state['max_new_tokens']
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# _gen_begin_base
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self.cache.current_seq_len = 0
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self.model.forward(ids[:, :-1], self.cache, input_mask=None, preprocess_only=True, loras=self.loras)
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self.generator.begin_stream(ids, settings, loras=self.loras)
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has_leading_space = False
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decoded_text = ''
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for i in range(max_new_tokens):
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logits = self.model.forward(ids[:, -1:], self.cache, input_mask=None, loras=self.loras).float().cpu()
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token, _, _ = ExLlamaV2Sampler.sample(logits, settings, ids, random.random(), self.tokenizer)
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ids = torch.cat([ids, token], dim=1)
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if i == 0 and self.tokenizer.tokenizer.id_to_piece(int(token)).startswith('▁'):
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has_leading_space = True
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decoded_text = self.tokenizer.decode(ids[:, initial_len:], decode_special_tokens=not state['skip_special_tokens'])[0]
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if has_leading_space:
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decoded_text = ' ' + decoded_text
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# Check the partial unicode character
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if chr(0xfffd) in decoded_text:
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is_last = i == max_new_tokens - 1
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is_stopping = token.item() == self.tokenizer.eos_token_id or shared.stop_everything
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# If we are not at the end of the generation, we skip this token
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if not (is_last or is_stopping):
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continue
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if token.item() == self.tokenizer.eos_token_id or shared.stop_everything:
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chunk, eos, _ = self.generator.stream()
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if eos or shared.stop_everything:
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break
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decoded_text += chunk
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yield decoded_text
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def generate(self, prompt, state):
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@ -31,9 +31,14 @@ def load_extensions():
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for i, name in enumerate(shared.args.extensions):
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if name in available_extensions:
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if name != 'api':
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logger.info(f'Loading the extension "{name}"...')
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logger.info(f'Loading the extension "{name}"')
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try:
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exec(f"import extensions.{name}.script")
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try:
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exec(f"import extensions.{name}.script")
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except ModuleNotFoundError:
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logger.error(f"Could not import the requirements for '{name}'. Make sure to install the requirements for the extension.\n\nLinux / Mac:\n\npip install -r extensions/{name}/requirements.txt --upgrade\n\nWindows:\n\npip install -r extensions\\{name}\\requirements.txt --upgrade\n\nIf you used the one-click installer, paste the command above in the terminal window opened after launching the cmd script for your OS.")
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raise
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extension = getattr(extensions, name).script
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apply_settings(extension, name)
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if extension not in setup_called and hasattr(extension, "setup"):
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@ -20,12 +20,21 @@ try:
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except:
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llama_cpp_cuda = None
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try:
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import llama_cpp_cuda_tensorcores
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except:
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llama_cpp_cuda_tensorcores = None
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def llama_cpp_lib():
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if (shared.args.cpu and llama_cpp is not None) or llama_cpp_cuda is None:
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if shared.args.cpu and llama_cpp is not None:
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return llama_cpp
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else:
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elif shared.args.tensorcores and llama_cpp_cuda_tensorcores is not None:
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return llama_cpp_cuda_tensorcores
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elif llama_cpp_cuda is not None:
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return llama_cpp_cuda
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else:
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return llama_cpp
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class LlamacppHF(PreTrainedModel):
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@ -19,12 +19,21 @@ try:
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except:
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llama_cpp_cuda = None
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try:
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import llama_cpp_cuda_tensorcores
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except:
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llama_cpp_cuda_tensorcores = None
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def llama_cpp_lib():
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if (shared.args.cpu and llama_cpp is not None) or llama_cpp_cuda is None:
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if shared.args.cpu and llama_cpp is not None:
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return llama_cpp
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else:
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elif shared.args.tensorcores and llama_cpp_cuda_tensorcores is not None:
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return llama_cpp_cuda_tensorcores
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elif llama_cpp_cuda is not None:
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return llama_cpp_cuda
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else:
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return llama_cpp
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def ban_eos_logits_processor(eos_token, input_ids, logits):
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@ -43,7 +43,8 @@ loaders_and_params = OrderedDict({
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'compress_pos_emb',
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'cpu',
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'numa',
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'no_offload_kqv'
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'no_offload_kqv',
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'tensorcores',
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],
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'llamacpp_HF': [
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'n_ctx',
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@ -65,6 +66,7 @@ loaders_and_params = OrderedDict({
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'no_use_fast',
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'logits_all',
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'no_offload_kqv',
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'tensorcores',
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'llamacpp_HF_info',
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],
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'ExLlamav2_HF': [
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@ -1,117 +1,67 @@
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# Copied from https://stackoverflow.com/a/1336640
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import logging
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import platform
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logging.basicConfig(
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format='%(asctime)s %(levelname)s:%(message)s',
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datefmt='%Y-%m-%d %H:%M:%S',
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)
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def add_coloring_to_emit_windows(fn):
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# add methods we need to the class
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def _out_handle(self):
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import ctypes
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return ctypes.windll.kernel32.GetStdHandle(self.STD_OUTPUT_HANDLE)
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out_handle = property(_out_handle)
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def _set_color(self, code):
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import ctypes
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# Constants from the Windows API
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self.STD_OUTPUT_HANDLE = -11
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hdl = ctypes.windll.kernel32.GetStdHandle(self.STD_OUTPUT_HANDLE)
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ctypes.windll.kernel32.SetConsoleTextAttribute(hdl, code)
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setattr(logging.StreamHandler, '_set_color', _set_color)
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def new(*args):
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FOREGROUND_BLUE = 0x0001 # text color contains blue.
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FOREGROUND_GREEN = 0x0002 # text color contains green.
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FOREGROUND_RED = 0x0004 # text color contains red.
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FOREGROUND_INTENSITY = 0x0008 # text color is intensified.
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FOREGROUND_WHITE = FOREGROUND_BLUE | FOREGROUND_GREEN | FOREGROUND_RED
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# winbase.h
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# STD_INPUT_HANDLE = -10
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# STD_OUTPUT_HANDLE = -11
|
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# STD_ERROR_HANDLE = -12
|
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|
||||
# wincon.h
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# FOREGROUND_BLACK = 0x0000
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FOREGROUND_BLUE = 0x0001
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FOREGROUND_GREEN = 0x0002
|
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# FOREGROUND_CYAN = 0x0003
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FOREGROUND_RED = 0x0004
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FOREGROUND_MAGENTA = 0x0005
|
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FOREGROUND_YELLOW = 0x0006
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# FOREGROUND_GREY = 0x0007
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||||
FOREGROUND_INTENSITY = 0x0008 # foreground color is intensified.
|
||||
|
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# BACKGROUND_BLACK = 0x0000
|
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# BACKGROUND_BLUE = 0x0010
|
||||
# BACKGROUND_GREEN = 0x0020
|
||||
# BACKGROUND_CYAN = 0x0030
|
||||
# BACKGROUND_RED = 0x0040
|
||||
# BACKGROUND_MAGENTA = 0x0050
|
||||
BACKGROUND_YELLOW = 0x0060
|
||||
# BACKGROUND_GREY = 0x0070
|
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BACKGROUND_INTENSITY = 0x0080 # background color is intensified.
|
||||
|
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levelno = args[1].levelno
|
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if (levelno >= 50):
|
||||
color = BACKGROUND_YELLOW | FOREGROUND_RED | FOREGROUND_INTENSITY | BACKGROUND_INTENSITY
|
||||
elif (levelno >= 40):
|
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color = FOREGROUND_RED | FOREGROUND_INTENSITY
|
||||
elif (levelno >= 30):
|
||||
color = FOREGROUND_YELLOW | FOREGROUND_INTENSITY
|
||||
elif (levelno >= 20):
|
||||
color = FOREGROUND_GREEN
|
||||
elif (levelno >= 10):
|
||||
color = FOREGROUND_MAGENTA
|
||||
else:
|
||||
color = FOREGROUND_WHITE
|
||||
args[0]._set_color(color)
|
||||
|
||||
ret = fn(*args)
|
||||
args[0]._set_color(FOREGROUND_WHITE)
|
||||
# print "after"
|
||||
return ret
|
||||
return new
|
||||
|
||||
|
||||
def add_coloring_to_emit_ansi(fn):
|
||||
# add methods we need to the class
|
||||
def new(*args):
|
||||
levelno = args[1].levelno
|
||||
if (levelno >= 50):
|
||||
color = '\x1b[31m' # red
|
||||
elif (levelno >= 40):
|
||||
color = '\x1b[31m' # red
|
||||
elif (levelno >= 30):
|
||||
color = '\x1b[33m' # yellow
|
||||
elif (levelno >= 20):
|
||||
color = '\x1b[32m' # green
|
||||
elif (levelno >= 10):
|
||||
color = '\x1b[35m' # pink
|
||||
else:
|
||||
color = '\x1b[0m' # normal
|
||||
args[1].msg = color + args[1].msg + '\x1b[0m' # normal
|
||||
# print "after"
|
||||
return fn(*args)
|
||||
return new
|
||||
|
||||
|
||||
if platform.system() == 'Windows':
|
||||
# Windows does not support ANSI escapes and we are using API calls to set the console color
|
||||
logging.StreamHandler.emit = add_coloring_to_emit_windows(logging.StreamHandler.emit)
|
||||
else:
|
||||
# all non-Windows platforms are supporting ANSI escapes so we use them
|
||||
logging.StreamHandler.emit = add_coloring_to_emit_ansi(logging.StreamHandler.emit)
|
||||
# log = logging.getLogger()
|
||||
# log.addFilter(log_filter())
|
||||
# //hdlr = logging.StreamHandler()
|
||||
# //hdlr.setFormatter(formatter())
|
||||
|
||||
logger = logging.getLogger('text-generation-webui')
|
||||
logger.setLevel(logging.DEBUG)
|
||||
|
||||
|
||||
def setup_logging():
|
||||
'''
|
||||
Copied from: https://github.com/vladmandic/automatic
|
||||
|
||||
All credits to vladmandic.
|
||||
'''
|
||||
|
||||
class RingBuffer(logging.StreamHandler):
|
||||
def __init__(self, capacity):
|
||||
super().__init__()
|
||||
self.capacity = capacity
|
||||
self.buffer = []
|
||||
self.formatter = logging.Formatter('{ "asctime":"%(asctime)s", "created":%(created)f, "facility":"%(name)s", "pid":%(process)d, "tid":%(thread)d, "level":"%(levelname)s", "module":"%(module)s", "func":"%(funcName)s", "msg":"%(message)s" }')
|
||||
|
||||
def emit(self, record):
|
||||
msg = self.format(record)
|
||||
# self.buffer.append(json.loads(msg))
|
||||
self.buffer.append(msg)
|
||||
if len(self.buffer) > self.capacity:
|
||||
self.buffer.pop(0)
|
||||
|
||||
def get(self):
|
||||
return self.buffer
|
||||
|
||||
from rich.console import Console
|
||||
from rich.logging import RichHandler
|
||||
from rich.pretty import install as pretty_install
|
||||
from rich.theme import Theme
|
||||
from rich.traceback import install as traceback_install
|
||||
|
||||
level = logging.DEBUG
|
||||
logger.setLevel(logging.DEBUG) # log to file is always at level debug for facility `sd`
|
||||
console = Console(log_time=True, log_time_format='%H:%M:%S-%f', theme=Theme({
|
||||
"traceback.border": "black",
|
||||
"traceback.border.syntax_error": "black",
|
||||
"inspect.value.border": "black",
|
||||
}))
|
||||
logging.basicConfig(level=logging.ERROR, format='%(asctime)s | %(name)s | %(levelname)s | %(module)s | %(message)s', handlers=[logging.NullHandler()]) # redirect default logger to null
|
||||
pretty_install(console=console)
|
||||
traceback_install(console=console, extra_lines=1, max_frames=10, width=console.width, word_wrap=False, indent_guides=False, suppress=[])
|
||||
while logger.hasHandlers() and len(logger.handlers) > 0:
|
||||
logger.removeHandler(logger.handlers[0])
|
||||
|
||||
# handlers
|
||||
rh = RichHandler(show_time=True, omit_repeated_times=False, show_level=True, show_path=False, markup=False, rich_tracebacks=True, log_time_format='%H:%M:%S-%f', level=level, console=console)
|
||||
rh.setLevel(level)
|
||||
logger.addHandler(rh)
|
||||
|
||||
rb = RingBuffer(100) # 100 entries default in log ring buffer
|
||||
rb.setLevel(level)
|
||||
logger.addHandler(rb)
|
||||
logger.buffer = rb.buffer
|
||||
|
||||
# overrides
|
||||
logging.getLogger("urllib3").setLevel(logging.ERROR)
|
||||
logging.getLogger("httpx").setLevel(logging.ERROR)
|
||||
logging.getLogger("diffusers").setLevel(logging.ERROR)
|
||||
logging.getLogger("torch").setLevel(logging.ERROR)
|
||||
logging.getLogger("lycoris").handlers = logger.handlers
|
||||
|
||||
|
||||
setup_logging()
|
||||
|
||||
@ -54,7 +54,7 @@ sampler_hijack.hijack_samplers()
|
||||
|
||||
|
||||
def load_model(model_name, loader=None):
|
||||
logger.info(f"Loading {model_name}...")
|
||||
logger.info(f"Loading {model_name}")
|
||||
t0 = time.time()
|
||||
|
||||
shared.is_seq2seq = False
|
||||
@ -413,8 +413,8 @@ def ExLlamav2_HF_loader(model_name):
|
||||
|
||||
|
||||
def HQQ_loader(model_name):
|
||||
from hqq.core.quantize import HQQBackend, HQQLinear
|
||||
from hqq.engine.hf import HQQModelForCausalLM
|
||||
from hqq.core.quantize import HQQLinear, HQQBackend
|
||||
|
||||
logger.info(f"Loading HQQ model with backend: {shared.args.hqq_backend}")
|
||||
|
||||
|
||||
@ -106,6 +106,7 @@ parser.add_argument('--compute_dtype', type=str, default='float16', help='comput
|
||||
parser.add_argument('--quant_type', type=str, default='nf4', help='quant_type for 4-bit. Valid options: nf4, fp4.')
|
||||
|
||||
# llama.cpp
|
||||
parser.add_argument('--tensorcores', action='store_true', help='Use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards. NVIDIA only.')
|
||||
parser.add_argument('--n_ctx', type=int, default=2048, help='Size of the prompt context.')
|
||||
parser.add_argument('--threads', type=int, default=0, help='Number of threads to use.')
|
||||
parser.add_argument('--threads-batch', type=int, default=0, help='Number of threads to use for batches/prompt processing.')
|
||||
@ -203,22 +204,26 @@ for arg in sys.argv[1:]:
|
||||
if hasattr(args, arg):
|
||||
provided_arguments.append(arg)
|
||||
|
||||
# Deprecation warnings
|
||||
deprecated_args = ['notebook', 'chat', 'no_stream', 'mul_mat_q', 'use_fast']
|
||||
for k in deprecated_args:
|
||||
if getattr(args, k):
|
||||
logger.warning(f'The --{k} flag has been deprecated and will be removed soon. Please remove that flag.')
|
||||
|
||||
# Security warnings
|
||||
if args.trust_remote_code:
|
||||
logger.warning('trust_remote_code is enabled. This is dangerous.')
|
||||
if 'COLAB_GPU' not in os.environ and not args.nowebui:
|
||||
if args.share:
|
||||
logger.warning("The gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.")
|
||||
if any((args.listen, args.share)) and not any((args.gradio_auth, args.gradio_auth_path)):
|
||||
logger.warning("\nYou are potentially exposing the web UI to the entire internet without any access password.\nYou can create one with the \"--gradio-auth\" flag like this:\n\n--gradio-auth username:password\n\nMake sure to replace username:password with your own.")
|
||||
if args.multi_user:
|
||||
logger.warning('\nThe multi-user mode is highly experimental and should not be shared publicly.')
|
||||
|
||||
def do_cmd_flags_warnings():
|
||||
|
||||
# Deprecation warnings
|
||||
for k in deprecated_args:
|
||||
if getattr(args, k):
|
||||
logger.warning(f'The --{k} flag has been deprecated and will be removed soon. Please remove that flag.')
|
||||
|
||||
# Security warnings
|
||||
if args.trust_remote_code:
|
||||
logger.warning('trust_remote_code is enabled. This is dangerous.')
|
||||
if 'COLAB_GPU' not in os.environ and not args.nowebui:
|
||||
if args.share:
|
||||
logger.warning("The gradio \"share link\" feature uses a proprietary executable to create a reverse tunnel. Use it with care.")
|
||||
if any((args.listen, args.share)) and not any((args.gradio_auth, args.gradio_auth_path)):
|
||||
logger.warning("\nYou are potentially exposing the web UI to the entire internet without any access password.\nYou can create one with the \"--gradio-auth\" flag like this:\n\n--gradio-auth username:password\n\nMake sure to replace username:password with your own.")
|
||||
if args.multi_user:
|
||||
logger.warning('\nThe multi-user mode is highly experimental and should not be shared publicly.')
|
||||
|
||||
|
||||
def fix_loader_name(name):
|
||||
|
||||
@ -249,7 +249,7 @@ def backup_adapter(input_folder):
|
||||
adapter_file = Path(f"{input_folder}/adapter_model.bin")
|
||||
if adapter_file.is_file():
|
||||
|
||||
logger.info("Backing up existing LoRA adapter...")
|
||||
logger.info("Backing up existing LoRA adapter")
|
||||
creation_date = datetime.fromtimestamp(adapter_file.stat().st_ctime)
|
||||
creation_date_str = creation_date.strftime("Backup-%Y-%m-%d")
|
||||
|
||||
@ -406,7 +406,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
|
||||
# == Prep the dataset, format, etc ==
|
||||
if raw_text_file not in ['None', '']:
|
||||
train_template["template_type"] = "raw_text"
|
||||
logger.info("Loading raw text file dataset...")
|
||||
logger.info("Loading raw text file dataset")
|
||||
fullpath = clean_path('training/datasets', f'{raw_text_file}')
|
||||
fullpath = Path(fullpath)
|
||||
if fullpath.is_dir():
|
||||
@ -486,7 +486,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
|
||||
prompt = generate_prompt(data_point)
|
||||
return tokenize(prompt, add_eos_token)
|
||||
|
||||
logger.info("Loading JSON datasets...")
|
||||
logger.info("Loading JSON datasets")
|
||||
data = load_dataset("json", data_files=clean_path('training/datasets', f'{dataset}.json'))
|
||||
train_data = data['train'].map(generate_and_tokenize_prompt, new_fingerprint='%030x' % random.randrange(16**30))
|
||||
|
||||
@ -516,13 +516,13 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
|
||||
|
||||
# == Start prepping the model itself ==
|
||||
if not hasattr(shared.model, 'lm_head') or hasattr(shared.model.lm_head, 'weight'):
|
||||
logger.info("Getting model ready...")
|
||||
logger.info("Getting model ready")
|
||||
prepare_model_for_kbit_training(shared.model)
|
||||
|
||||
# base model is now frozen and should not be reused for any other LoRA training than this one
|
||||
shared.model_dirty_from_training = True
|
||||
|
||||
logger.info("Preparing for training...")
|
||||
logger.info("Preparing for training")
|
||||
config = LoraConfig(
|
||||
r=lora_rank,
|
||||
lora_alpha=lora_alpha,
|
||||
@ -540,10 +540,10 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
|
||||
model_trainable_params, model_all_params = calc_trainable_parameters(shared.model)
|
||||
|
||||
try:
|
||||
logger.info("Creating LoRA model...")
|
||||
logger.info("Creating LoRA model")
|
||||
lora_model = get_peft_model(shared.model, config)
|
||||
if not always_override and Path(f"{lora_file_path}/adapter_model.bin").is_file():
|
||||
logger.info("Loading existing LoRA data...")
|
||||
logger.info("Loading existing LoRA data")
|
||||
state_dict_peft = torch.load(f"{lora_file_path}/adapter_model.bin", weights_only=True)
|
||||
set_peft_model_state_dict(lora_model, state_dict_peft)
|
||||
except:
|
||||
@ -648,7 +648,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
|
||||
json.dump(train_template, file, indent=2)
|
||||
|
||||
# == Main run and monitor loop ==
|
||||
logger.info("Starting training...")
|
||||
logger.info("Starting training")
|
||||
yield "Starting..."
|
||||
|
||||
lora_trainable_param, lora_all_param = calc_trainable_parameters(lora_model)
|
||||
@ -730,7 +730,7 @@ def do_train(lora_name: str, always_override: bool, q_proj_en: bool, v_proj_en:
|
||||
|
||||
# Saving in the train thread might fail if an error occurs, so save here if so.
|
||||
if not tracked.did_save:
|
||||
logger.info("Training complete, saving...")
|
||||
logger.info("Training complete, saving")
|
||||
lora_model.save_pretrained(lora_file_path)
|
||||
|
||||
if WANT_INTERRUPT:
|
||||
|
||||
@ -92,6 +92,7 @@ def list_model_elements():
|
||||
'numa',
|
||||
'logits_all',
|
||||
'no_offload_kqv',
|
||||
'tensorcores',
|
||||
'hqq_backend',
|
||||
]
|
||||
if is_torch_xpu_available():
|
||||
|
||||
@ -105,6 +105,8 @@ def create_ui():
|
||||
shared.gradio['quipsharp_info'] = gr.Markdown('QuIP# only works on Linux.')
|
||||
|
||||
with gr.Column():
|
||||
shared.gradio['tensorcores'] = gr.Checkbox(label="tensorcores", value=shared.args.tensorcores, info='Use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards. NVIDIA only.')
|
||||
shared.gradio['no_offload_kqv'] = gr.Checkbox(label="no_offload_kqv", value=shared.args.no_offload_kqv, info='Do not offload the K, Q, V to the GPU. This saves VRAM but reduces the performance.')
|
||||
shared.gradio['triton'] = gr.Checkbox(label="triton", value=shared.args.triton)
|
||||
shared.gradio['no_inject_fused_attention'] = gr.Checkbox(label="no_inject_fused_attention", value=shared.args.no_inject_fused_attention, info='Disable fused attention. Fused attention improves inference performance but uses more VRAM. Fuses layers for AutoAWQ. Disable if running low on VRAM.')
|
||||
shared.gradio['no_inject_fused_mlp'] = gr.Checkbox(label="no_inject_fused_mlp", value=shared.args.no_inject_fused_mlp, info='Affects Triton only. Disable fused MLP. Fused MLP improves performance but uses more VRAM. Disable if running low on VRAM.')
|
||||
@ -115,7 +117,6 @@ def create_ui():
|
||||
shared.gradio['mlock'] = gr.Checkbox(label="mlock", value=shared.args.mlock)
|
||||
shared.gradio['numa'] = gr.Checkbox(label="numa", value=shared.args.numa, info='NUMA support can help on some systems with non-uniform memory access.')
|
||||
shared.gradio['cpu'] = gr.Checkbox(label="cpu", value=shared.args.cpu)
|
||||
shared.gradio['no_offload_kqv'] = gr.Checkbox(label="no_offload_kqv", value=shared.args.no_offload_kqv, info='Do not offload the K, Q, V to the GPU. This saves VRAM but reduces the performance.')
|
||||
shared.gradio['load_in_8bit'] = gr.Checkbox(label="load-in-8bit", value=shared.args.load_in_8bit)
|
||||
shared.gradio['bf16'] = gr.Checkbox(label="bf16", value=shared.args.bf16)
|
||||
shared.gradio['auto_devices'] = gr.Checkbox(label="auto-devices", value=shared.args.auto_devices)
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11; platform_system != "Darwin" and platform_machine != "x86_64"
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
@ -35,6 +36,26 @@ https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cp
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.24+cpuavx2-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.24+cpuavx2-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
|
||||
# llama-cpp-python (CUDA, no tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121-cp39-cp39-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121-cp38-cp38-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
|
||||
# llama-cpp-python (CUDA, tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+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-0.2.24+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-0.2.24+cu121-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+cu121-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+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-0.2.24+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-0.2.24+cu121-cp39-cp39-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+cu121-cp38-cp38-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
|
||||
# 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"
|
||||
@ -68,14 +89,6 @@ https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp39-cp39-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp38-cp38-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121-cp39-cp39-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121-cp38-cp38-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" 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-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-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11; platform_system == "Windows" or python_version < "3.10" or python_version > "3.11" or platform_machine != "x86_64"
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11; platform_system == "Windows" or python_version < "3.10" or python_version > "3.11" or platform_machine != "x86_64"
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11; platform_system != "Darwin" and platform_machine != "x86_64"
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
@ -35,6 +36,26 @@ https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cp
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.24+cpuavx-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.24+cpuavx-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
|
||||
# llama-cpp-python (CUDA, no tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121avx-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121avx-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121avx-cp39-cp39-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121avx-cp38-cp38-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
|
||||
# llama-cpp-python (CUDA, tensor cores)
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+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-0.2.24+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-0.2.24+cu121avx-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+cu121avx-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+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-0.2.24+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-0.2.24+cu121avx-cp39-cp39-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda_tensorcores-0.2.24+cu121avx-cp38-cp38-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
|
||||
# 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"
|
||||
@ -68,14 +89,6 @@ https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10"
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp39-cp39-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/Dao-AILab/flash-attention/releases/download/v2.3.4/flash_attn-2.3.4+cu122torch2.1cxx11abiFALSE-cp38-cp38-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121avx-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121avx-cp38-cp38-win_amd64.whl; platform_system == "Windows" and python_version == "3.8"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+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-0.2.24+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-0.2.24+cu121avx-cp39-cp39-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.9"
|
||||
https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/textgen-webui/llama_cpp_python_cuda-0.2.24+cu121avx-cp38-cp38-manylinux_2_31_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.8"
|
||||
https://github.com/jllllll/GPTQ-for-LLaMa-CUDA/releases/download/0.1.1/gptq_for_llama-0.1.1+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" 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-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-cp39-cp39-win_amd64.whl; platform_system == "Windows" and python_version == "3.9"
|
||||
|
||||
@ -4,7 +4,7 @@ datasets
|
||||
einops
|
||||
exllamav2==0.0.11
|
||||
gradio==3.50.*
|
||||
hqq==0.1.1
|
||||
hqq==0.1.1.post1
|
||||
markdown
|
||||
numpy==1.24.*
|
||||
optimum==1.16.*
|
||||
@ -13,6 +13,7 @@ peft==0.7.*
|
||||
Pillow>=9.5.0
|
||||
pyyaml
|
||||
requests
|
||||
rich
|
||||
safetensors==0.4.1
|
||||
scipy
|
||||
sentencepiece
|
||||
|
||||
@ -12,6 +12,8 @@ os.environ['BITSANDBYTES_NOWELCOME'] = '1'
|
||||
warnings.filterwarnings('ignore', category=UserWarning, message='TypedStorage is deprecated')
|
||||
warnings.filterwarnings('ignore', category=UserWarning, message='Using the update method is deprecated')
|
||||
warnings.filterwarnings('ignore', category=UserWarning, message='Field "model_name" has conflict')
|
||||
warnings.filterwarnings('ignore', category=UserWarning, message='The value passed into gr.Dropdown()')
|
||||
warnings.filterwarnings('ignore', category=UserWarning, message='Field "model_names" has conflict')
|
||||
|
||||
with RequestBlocker():
|
||||
import gradio as gr
|
||||
@ -54,6 +56,7 @@ from modules.models_settings import (
|
||||
get_model_metadata,
|
||||
update_model_parameters
|
||||
)
|
||||
from modules.shared import do_cmd_flags_warnings
|
||||
from modules.utils import gradio
|
||||
|
||||
|
||||
@ -170,6 +173,9 @@ def create_interface():
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
logger.info("Starting Text generation web UI")
|
||||
do_cmd_flags_warnings()
|
||||
|
||||
# Load custom settings
|
||||
settings_file = None
|
||||
if shared.args.settings is not None and Path(shared.args.settings).exists():
|
||||
@ -180,7 +186,7 @@ if __name__ == "__main__":
|
||||
settings_file = Path('settings.json')
|
||||
|
||||
if settings_file is not None:
|
||||
logger.info(f"Loading settings from {settings_file}...")
|
||||
logger.info(f"Loading settings from {settings_file}")
|
||||
file_contents = open(settings_file, 'r', encoding='utf-8').read()
|
||||
new_settings = json.loads(file_contents) if settings_file.suffix == "json" else yaml.safe_load(file_contents)
|
||||
shared.settings.update(new_settings)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user