From 51fb766bead8af39dc44fac0e0315c870f520f56 Mon Sep 17 00:00:00 2001 From: oobabooga <112222186+oobabooga@users.noreply.github.com> Date: Tue, 30 Apr 2024 09:11:31 -0300 Subject: [PATCH] Add back my llama-cpp-python wheels, bump to 0.2.65 (#5964) --- README.md | 20 +++++---- docs/04 - Model Tab.md | 4 +- modules/llama_cpp_python_hijack.py | 18 +++++++- modules/llamacpp_hf.py | 31 +++++++++++-- modules/llamacpp_model.py | 35 ++++++++++++--- modules/loaders.py | 4 ++ modules/shared.py | 6 +-- modules/ui.py | 1 + modules/ui_model_menu.py | 1 + one_click.py | 35 ++++++++++++--- requirements.txt | 22 ++++++--- requirements_amd.txt | 12 ++--- requirements_amd_noavx2.txt | 49 ++++++++++++++++++++ requirements_apple_intel.txt | 12 ++--- requirements_apple_silicon.txt | 16 +++---- requirements_cpu_only.txt | 10 ++--- requirements_cpu_only_noavx2.txt | 38 ++++++++++++++++ requirements_noavx2.txt | 72 ++++++++++++++++++++++++++++++ 18 files changed, 330 insertions(+), 56 deletions(-) create mode 100644 requirements_amd_noavx2.txt create mode 100644 requirements_cpu_only_noavx2.txt create mode 100644 requirements_noavx2.txt diff --git a/README.md b/README.md index 46cca63e..9f3e81bd 100644 --- a/README.md +++ b/README.md @@ -107,13 +107,16 @@ pip install -r Requirements file to use: -| GPU | requirements file to use | -|--------|---------| -| NVIDIA | `requirements.txt` | -| AMD | `requirements_amd.txt` | -| CPU only | `requirements_cpu_only.txt` | -| Apple Intel | `requirements_apple_intel.txt` | -| Apple Silicon | `requirements_apple_silicon.txt` | +| GPU | CPU | requirements file to use | +|--------|---------|---------| +| NVIDIA | has AVX2 | `requirements.txt` | +| NVIDIA | no AVX2 | `requirements_noavx2.txt` | +| AMD | has AVX2 | `requirements_amd.txt` | +| AMD | no AVX2 | `requirements_amd_noavx2.txt` | +| CPU only | has AVX2 | `requirements_cpu_only.txt` | +| CPU only | no AVX2 | `requirements_cpu_only_noavx2.txt` | +| Apple | Intel | `requirements_apple_intel.txt` | +| Apple | Apple Silicon | `requirements_apple_silicon.txt` | ### Start the web UI @@ -129,7 +132,7 @@ Then browse to ##### AMD GPU on Windows -1) Use `requirements_cpu_only.txt` in the command above. +1) Use `requirements_cpu_only.txt` or `requirements_cpu_only_noavx2.txt` in the command above. 2) Manually install llama-cpp-python using the appropriate command for your hardware: [Installation from PyPI](https://github.com/abetlen/llama-cpp-python#installation-with-hardware-acceleration). * Use the `LLAMA_HIPBLAS=on` toggle. @@ -252,6 +255,7 @@ List of command-line flags | Flag | Description | |-------------|-------------| +| `--tensorcores` | Use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards. NVIDIA only. | | `--n_ctx N_CTX` | Size of the prompt context. | | `--threads` | Number of threads to use. | | `--threads-batch THREADS_BATCH` | Number of threads to use for batches/prompt processing. | diff --git a/docs/04 - Model Tab.md b/docs/04 - Model Tab.md index cbc08843..7c168e89 100644 --- a/docs/04 - Model Tab.md +++ b/docs/04 - Model Tab.md @@ -21,7 +21,7 @@ Options: * **alpha_value**: Used to extend the context length of a model with a minor loss in quality. I have measured 1.75 to be optimal for 1.5x context, and 2.5 for 2x context. That is, with alpha = 2.5 you can make a model with 4096 context length go to 8192 context length. * **rope_freq_base**: Originally another way to write "alpha_value", it ended up becoming a necessary parameter for some models like CodeLlama, which was fine-tuned with this set to 1000000 and hence needs to be loaded with it set to 1000000 as well. * **compress_pos_emb**: The first and original context-length extension method, discovered by [kaiokendev](https://kaiokendev.github.io/til). When set to 2, the context length is doubled, 3 and it's tripled, etc. It should only be used for models that have been fine-tuned with this parameter set to different than 1. For models that have not been tuned to have greater context length, alpha_value will lead to a smaller accuracy loss. -* **cpu**: Loads the model in CPU mode using Pytorch. The model will be loaded in 32-bit precision, so a lot of RAM will be used. CPU inference with transformers is older than llama.cpp and it works, but it's a lot slower. +* **cpu**: Loads the model in CPU mode using Pytorch. The model will be loaded in 32-bit precision, so a lot of RAM will be used. CPU inference with transformers is older than llama.cpp and it works, but it's a lot slower. Note: this parameter has a different interpretation in the llama.cpp loader (see below). * **load-in-8bit**: Load the model in 8-bit precision using bitsandbytes. The 8-bit kernel in that library has been optimized for training and not inference, so load-in-8bit is slower than load-in-4bit (but more accurate). * **bf16**: Use bfloat16 precision instead of float16 (the default). Only applies when quantization is not used. * **auto-devices**: When checked, the backend will try to guess a reasonable value for "gpu-memory" to allow you to load a model with CPU offloading. I recommend just setting "gpu-memory" manually instead. This parameter is also needed for loading GPTQ models, in which case it needs to be checked before loading the model. @@ -84,7 +84,9 @@ Example: https://huggingface.co/TheBloke/Llama-2-7b-Chat-GGUF * **n_batch**: Batch size for prompt processing. Higher values are supposed to make generation faster, but I have never obtained any benefit from changing this value. * **threads**: Number of threads. Recommended value: your number of physical cores. * **threads_batch**: Number of threads for batch processing. Recommended value: your total number of cores (physical + virtual). +* **tensorcores**: Use llama.cpp compiled with "tensor cores" support, which improves performance on NVIDIA RTX cards in most cases. * **streamingllm**: Experimental feature to avoid re-evaluating the entire prompt when part of it is removed, for instance, when you hit the context length for the model in chat mode and an old message is removed. +* **cpu**: Force a version of llama.cpp compiled without GPU acceleration to be used. Can usually be ignored. Only set this if you want to use CPU only and llama.cpp doesn't work otherwise. * **no_mul_mat_q**: Disable the mul_mat_q kernel. This kernel usually improves generation speed significantly. This option to disable it is included in case it doesn't work on some system. * **no-mmap**: Loads the model into memory at once, possibly preventing I/O operations later on at the cost of a longer load time. * **mlock**: Force the system to keep the model in RAM rather than swapping or compressing (no idea what this means, never used it). diff --git a/modules/llama_cpp_python_hijack.py b/modules/llama_cpp_python_hijack.py index 573f79af..eb23177f 100644 --- a/modules/llama_cpp_python_hijack.py +++ b/modules/llama_cpp_python_hijack.py @@ -1,11 +1,25 @@ from typing import Sequence -import llama_cpp from tqdm import tqdm from modules import shared from modules.cache_utils import process_llamacpp_cache +try: + import llama_cpp +except: + llama_cpp = None + +try: + import llama_cpp_cuda +except: + llama_cpp_cuda = None + +try: + import llama_cpp_cuda_tensorcores +except: + llama_cpp_cuda_tensorcores = None + def eval_with_progress(self, tokens: Sequence[int]): """ @@ -67,7 +81,7 @@ def monkey_patch_generate(lib): lib.Llama.generate = my_generate -for lib in [llama_cpp]: +for lib in [llama_cpp, llama_cpp_cuda, llama_cpp_cuda_tensorcores]: if lib is not None: lib.Llama.eval = eval_with_progress monkey_patch_generate(lib) diff --git a/modules/llamacpp_hf.py b/modules/llamacpp_hf.py index 75765b6f..1bfd667d 100644 --- a/modules/llamacpp_hf.py +++ b/modules/llamacpp_hf.py @@ -2,7 +2,6 @@ import os from pathlib import Path from typing import Any, Dict, Optional, Union -import llama_cpp import torch from torch.nn import CrossEntropyLoss from transformers import GenerationConfig, PretrainedConfig, PreTrainedModel @@ -11,6 +10,32 @@ from transformers.modeling_outputs import CausalLMOutputWithPast from modules import RoPE, llama_cpp_python_hijack, shared from modules.logging_colors import logger +try: + import llama_cpp +except: + llama_cpp = None + +try: + import llama_cpp_cuda +except: + llama_cpp_cuda = None + +try: + import llama_cpp_cuda_tensorcores +except: + llama_cpp_cuda_tensorcores = None + + +def llama_cpp_lib(): + if shared.args.cpu and llama_cpp is not None: + return llama_cpp + elif shared.args.tensorcores and llama_cpp_cuda_tensorcores is not None: + return llama_cpp_cuda_tensorcores + elif llama_cpp_cuda is not None: + return llama_cpp_cuda + else: + return llama_cpp + class LlamacppHF(PreTrainedModel): def __init__(self, model, path): @@ -32,7 +57,7 @@ class LlamacppHF(PreTrainedModel): 'n_tokens': self.model.n_tokens, 'input_ids': self.model.input_ids.copy(), 'scores': self.model.scores.copy(), - 'ctx': llama_cpp.llama_new_context_with_model(model.model, model.context_params) + 'ctx': llama_cpp_lib().llama_new_context_with_model(model.model, model.context_params) } def _validate_model_class(self): @@ -195,7 +220,7 @@ class LlamacppHF(PreTrainedModel): 'split_mode': 1 if not shared.args.row_split else 2 } - Llama = llama_cpp.Llama + Llama = llama_cpp_lib().Llama model = Llama(**params) return LlamacppHF(model, model_file) diff --git a/modules/llamacpp_model.py b/modules/llamacpp_model.py index e0944767..8bc9b7cb 100644 --- a/modules/llamacpp_model.py +++ b/modules/llamacpp_model.py @@ -1,7 +1,6 @@ import re from functools import partial -import llama_cpp import numpy as np import torch @@ -10,6 +9,32 @@ from modules.callbacks import Iteratorize from modules.logging_colors import logger from modules.text_generation import get_max_prompt_length +try: + import llama_cpp +except: + llama_cpp = None + +try: + import llama_cpp_cuda +except: + llama_cpp_cuda = None + +try: + import llama_cpp_cuda_tensorcores +except: + llama_cpp_cuda_tensorcores = None + + +def llama_cpp_lib(): + if shared.args.cpu and llama_cpp is not None: + return llama_cpp + elif shared.args.tensorcores and llama_cpp_cuda_tensorcores is not None: + return llama_cpp_cuda_tensorcores + elif llama_cpp_cuda is not None: + return llama_cpp_cuda + else: + return llama_cpp + def ban_eos_logits_processor(eos_token, input_ids, logits): logits[eos_token] = -float('inf') @@ -35,8 +60,8 @@ class LlamaCppModel: @classmethod def from_pretrained(self, path): - Llama = llama_cpp.Llama - LlamaCache = llama_cpp.LlamaCache + Llama = llama_cpp_lib().Llama + LlamaCache = llama_cpp_lib().LlamaCache result = self() cache_capacity = 0 @@ -101,12 +126,12 @@ class LlamaCppModel: if string != self.grammar_string: self.grammar_string = string if string.strip() != '': - self.grammar = llama_cpp.LlamaGrammar.from_string(string) + self.grammar = llama_cpp_lib().LlamaGrammar.from_string(string) else: self.grammar = None def generate(self, prompt, state, callback=None): - LogitsProcessorList = llama_cpp.LogitsProcessorList + LogitsProcessorList = llama_cpp_lib().LogitsProcessorList prompt = prompt if type(prompt) is str else prompt.decode() # Handle truncation diff --git a/modules/loaders.py b/modules/loaders.py index 623d27d1..23477339 100644 --- a/modules/loaders.py +++ b/modules/loaders.py @@ -41,9 +41,11 @@ loaders_and_params = OrderedDict({ 'alpha_value', 'rope_freq_base', 'compress_pos_emb', + 'cpu', 'numa', 'no_offload_kqv', 'row_split', + 'tensorcores', 'streaming_llm', 'attention_sink_size', ], @@ -60,6 +62,7 @@ loaders_and_params = OrderedDict({ 'alpha_value', 'rope_freq_base', 'compress_pos_emb', + 'cpu', 'numa', 'cfg_cache', 'trust_remote_code', @@ -67,6 +70,7 @@ loaders_and_params = OrderedDict({ 'logits_all', 'no_offload_kqv', 'row_split', + 'tensorcores', 'streaming_llm', 'attention_sink_size', 'llamacpp_HF_info', diff --git a/modules/shared.py b/modules/shared.py index 53f2e52b..67c65c30 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -114,6 +114,7 @@ group.add_argument('--quant_type', type=str, default='nf4', help='quant_type for # llama.cpp group = parser.add_argument_group('llama.cpp') +group.add_argument('--tensorcores', action='store_true', help='Use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards. NVIDIA only.') group.add_argument('--n_ctx', type=int, default=2048, help='Size of the prompt context.') group.add_argument('--threads', type=int, default=0, help='Number of threads to use.') group.add_argument('--threads-batch', type=int, default=0, help='Number of threads to use for batches/prompt processing.') @@ -204,8 +205,7 @@ group = parser.add_argument_group('Multimodal') group.add_argument('--multimodal-pipeline', type=str, default=None, help='The multimodal pipeline to use. Examples: llava-7b, llava-13b.') # Deprecated parameters -group = parser.add_argument_group('Deprecated') -group.add_argument('--tensorcores', action='store_true', help='DEPRECATED') +# group = parser.add_argument_group('Deprecated') args = parser.parse_args() args_defaults = parser.parse_args([]) @@ -215,7 +215,7 @@ for arg in sys.argv[1:]: if hasattr(args, arg): provided_arguments.append(arg) -deprecated_args = ['tensorcores'] +deprecated_args = [] def do_cmd_flags_warnings(): diff --git a/modules/ui.py b/modules/ui.py index f9a04522..6694c5f3 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -103,6 +103,7 @@ def list_model_elements(): 'logits_all', 'no_offload_kqv', 'row_split', + 'tensorcores', 'streaming_llm', 'attention_sink_size', 'hqq_backend', diff --git a/modules/ui_model_menu.py b/modules/ui_model_menu.py index 5c4b2f89..7f7a3ab8 100644 --- a/modules/ui_model_menu.py +++ b/modules/ui_model_menu.py @@ -119,6 +119,7 @@ def create_ui(): shared.gradio['use_double_quant'] = gr.Checkbox(label="use_double_quant", value=shared.args.use_double_quant) shared.gradio['use_flash_attention_2'] = gr.Checkbox(label="use_flash_attention_2", value=shared.args.use_flash_attention_2, info='Set use_flash_attention_2=True while loading the model.') shared.gradio['auto_devices'] = gr.Checkbox(label="auto-devices", value=shared.args.auto_devices) + shared.gradio['tensorcores'] = gr.Checkbox(label="tensorcores", value=shared.args.tensorcores, info='NVIDIA only: use llama-cpp-python compiled with tensor cores support. This increases performance on RTX cards.') shared.gradio['streaming_llm'] = gr.Checkbox(label="streaming_llm", value=shared.args.streaming_llm, info='(experimental) Activate StreamingLLM to avoid re-evaluating the entire prompt when old messages are removed.') shared.gradio['attention_sink_size'] = gr.Number(label="attention_sink_size", value=shared.args.attention_sink_size, precision=0, info='StreamingLLM: number of sink tokens. Only used if the trimmed prompt doesn\'t share a prefix with the old prompt.') shared.gradio['cpu'] = gr.Checkbox(label="cpu", value=shared.args.cpu, info='llama.cpp: Use llama-cpp-python compiled without GPU acceleration. Transformers: use PyTorch in CPU mode.') diff --git a/one_click.py b/one_click.py index 96f24107..0d543e30 100644 --- a/one_click.py +++ b/one_click.py @@ -58,6 +58,32 @@ def is_x86_64(): return platform.machine() == "x86_64" +def cpu_has_avx2(): + try: + import cpuinfo + + info = cpuinfo.get_cpu_info() + if 'avx2' in info['flags']: + return True + else: + return False + except: + return True + + +def cpu_has_amx(): + try: + import cpuinfo + + info = cpuinfo.get_cpu_info() + if 'amx' in info['flags']: + return True + else: + return False + except: + return True + + def torch_version(): site_packages_path = None for sitedir in site.getsitepackages(): @@ -279,7 +305,7 @@ def install_webui(): # Install Git and then Pytorch print_big_message("Installing PyTorch.") - run_cmd(f"conda install -y -k ninja git && {install_pytorch}", assert_success=True, environment=True) + run_cmd(f"conda install -y -k ninja git && {install_pytorch} && python -m pip install py-cpuinfo==9.0.0", assert_success=True, environment=True) if selected_gpu == "INTEL": # Install oneAPI dependencies via conda @@ -346,13 +372,13 @@ def update_requirements(initial_installation=False, pull=True): is_cpu = '+cpu' in torver # 2.0.1+cpu if is_rocm: - base_requirements = "requirements_amd.txt" + base_requirements = "requirements_amd" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt" elif is_cpu or is_intel: - base_requirements = "requirements_cpu_only.txt" + base_requirements = "requirements_cpu_only" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt" elif is_macos(): base_requirements = "requirements_apple_" + ("intel" if is_x86_64() else "silicon") + ".txt" else: - base_requirements = "requirements.txt" + base_requirements = "requirements" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt" requirements_file = base_requirements @@ -363,7 +389,6 @@ def update_requirements(initial_installation=False, pull=True): textgen_requirements = open(requirements_file).read().splitlines() if is_cuda118: textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements] - textgen_requirements = [req for req in textgen_requirements if '-cu121' not in req] if is_windows() and is_cuda118: # No flash-attention on Windows for CUDA 11 textgen_requirements = [req for req in textgen_requirements if 'oobabooga/flash-attention' not in req] diff --git a/requirements.txt b/requirements.txt index 919132d5..14239768 100644 --- a/requirements.txt +++ b/requirements.txt @@ -33,11 +33,23 @@ flask_cloudflared==0.0.14 sse-starlette==1.6.5 tiktoken -# llama-cpp-python (CUDA) -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64-cu121/llama_cpp_python-0.2.64-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64-cu121/llama_cpp_python-0.2.64-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64-cu121/llama_cpp_python-0.2.64-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64-cu121/llama_cpp_python-0.2.64-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +# llama-cpp-python (CPU only, AVX2) +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.65+cpuavx2-cp311-cp311-linux_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-0.2.65+cpuavx2-cp310-cp310-linux_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-0.2.65+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-0.2.65+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-0.2.65+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-0.2.65+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-0.2.65+cu121-cp311-cp311-linux_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-0.2.65+cu121-cp310-cp310-linux_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-0.2.65+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-0.2.65+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-0.2.65+cu121-cp311-cp311-linux_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-0.2.65+cu121-cp310-cp310-linux_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" diff --git a/requirements_amd.txt b/requirements_amd.txt index e9482a91..1ab80f76 100644 --- a/requirements_amd.txt +++ b/requirements_amd.txt @@ -31,13 +31,15 @@ flask_cloudflared==0.0.14 sse-starlette==1.6.5 tiktoken -# llama-cpp-python (CPU only) -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +# llama-cpp-python (CPU only, AVX2) +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.65+cpuavx2-cp311-cp311-linux_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-0.2.65+cpuavx2-cp310-cp310-linux_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-0.2.65+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-0.2.65+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-0.2.65+rocm5.6.1-cp311-cp311-linux_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-0.2.65+rocm5.6.1-cp310-cp310-linux_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/turboderp/exllamav2/releases/download/v0.0.19/exllamav2-0.0.19+rocm5.6-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 new file mode 100644 index 00000000..5d86bf09 --- /dev/null +++ b/requirements_amd_noavx2.txt @@ -0,0 +1,49 @@ +accelerate==0.27.* +colorama +datasets +einops +gradio==4.26.* +hqq==0.1.5 +jinja2==3.1.2 +lm_eval==0.3.0 +markdown +numba==0.59.* +numpy==1.26.* +optimum==1.17.* +pandas +peft==0.8.* +Pillow>=9.5.0 +psutil +pyyaml +requests +rich +safetensors==0.4.* +scipy +sentencepiece +tensorboard +transformers==4.40.* +tqdm +wandb + +# API +SpeechRecognition==3.10.0 +flask_cloudflared==0.0.14 +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-0.2.65+cpuavx-cp311-cp311-linux_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-0.2.65+cpuavx-cp310-cp310-linux_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-0.2.65+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-0.2.65+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/turboderp/exllamav2/releases/download/v0.0.19/exllamav2-0.0.19+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/v0.0.19/exllamav2-0.0.19+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/v0.0.19/exllamav2-0.0.19-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" +https://github.com/casper-hansen/AutoAWQ/releases/download/v0.2.3/autoawq-0.2.3+rocm561-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" diff --git a/requirements_apple_intel.txt b/requirements_apple_intel.txt index 96531184..80dcff01 100644 --- a/requirements_apple_intel.txt +++ b/requirements_apple_intel.txt @@ -32,10 +32,10 @@ sse-starlette==1.6.5 tiktoken # Mac wheels -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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/v0.0.19/exllamav2-0.0.19-py3-none-any.whl diff --git a/requirements_apple_silicon.txt b/requirements_apple_silicon.txt index c529b048..e8c9583c 100644 --- a/requirements_apple_silicon.txt +++ b/requirements_apple_silicon.txt @@ -32,12 +32,12 @@ sse-starlette==1.6.5 tiktoken # Mac wheels -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/abetlen/llama-cpp-python/releases/download/v0.2.64-metal/llama_cpp_python-0.2.64-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/llama-cpp-python-cuBLAS-wheels/releases/download/metal/llama_cpp_python-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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-0.2.65-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/v0.0.19/exllamav2-0.0.19-py3-none-any.whl diff --git a/requirements_cpu_only.txt b/requirements_cpu_only.txt index a70dfff1..56a27ba4 100644 --- a/requirements_cpu_only.txt +++ b/requirements_cpu_only.txt @@ -31,8 +31,8 @@ flask_cloudflared==0.0.14 sse-starlette==1.6.5 tiktoken -# llama-cpp-python (CPU only) -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp311-cp311-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.11" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" -https://github.com/abetlen/llama-cpp-python/releases/download/v0.2.64/llama_cpp_python-0.2.64-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" and python_version == "3.10" +# llama-cpp-python (CPU only, AVX2) +https://github.com/oobabooga/llama-cpp-python-cuBLAS-wheels/releases/download/cpu/llama_cpp_python-0.2.65+cpuavx2-cp311-cp311-linux_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-0.2.65+cpuavx2-cp310-cp310-linux_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-0.2.65+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-0.2.65+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 new file mode 100644 index 00000000..3b97c75e --- /dev/null +++ b/requirements_cpu_only_noavx2.txt @@ -0,0 +1,38 @@ +accelerate==0.27.* +colorama +datasets +einops +gradio==4.26.* +hqq==0.1.5 +jinja2==3.1.2 +lm_eval==0.3.0 +markdown +numba==0.59.* +numpy==1.26.* +optimum==1.17.* +pandas +peft==0.8.* +Pillow>=9.5.0 +psutil +pyyaml +requests +rich +safetensors==0.4.* +scipy +sentencepiece +tensorboard +transformers==4.40.* +tqdm +wandb + +# API +SpeechRecognition==3.10.0 +flask_cloudflared==0.0.14 +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-0.2.65+cpuavx-cp311-cp311-linux_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-0.2.65+cpuavx-cp310-cp310-linux_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-0.2.65+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-0.2.65+cpuavx-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" diff --git a/requirements_noavx2.txt b/requirements_noavx2.txt new file mode 100644 index 00000000..435e8cf0 --- /dev/null +++ b/requirements_noavx2.txt @@ -0,0 +1,72 @@ +accelerate==0.27.* +aqlm[gpu,cpu]==1.1.3; platform_system == "Linux" +bitsandbytes==0.43.* +colorama +datasets +einops +gradio==4.26.* +hqq==0.1.5 +jinja2==3.1.2 +lm_eval==0.3.0 +markdown +numba==0.59.* +numpy==1.26.* +optimum==1.17.* +pandas +peft==0.8.* +Pillow>=9.5.0 +psutil +pyyaml +requests +rich +safetensors==0.4.* +scipy +sentencepiece +tensorboard +transformers==4.40.* +tqdm +wandb + +# API +SpeechRecognition==3.10.0 +flask_cloudflared==0.0.14 +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-0.2.65+cpuavx-cp311-cp311-linux_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-0.2.65+cpuavx-cp310-cp310-linux_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-0.2.65+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-0.2.65+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-0.2.65+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-0.2.65+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-0.2.65+cu121avx-cp311-cp311-linux_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-0.2.65+cu121avx-cp310-cp310-linux_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-0.2.65+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-0.2.65+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-0.2.65+cu121avx-cp311-cp311-linux_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-0.2.65+cu121avx-cp310-cp310-linux_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/turboderp/exllamav2/releases/download/v0.0.19/exllamav2-0.0.19+cu121-cp311-cp311-win_amd64.whl; platform_system == "Windows" and python_version == "3.11" +https://github.com/turboderp/exllamav2/releases/download/v0.0.19/exllamav2-0.0.19+cu121-cp310-cp310-win_amd64.whl; platform_system == "Windows" and python_version == "3.10" +https://github.com/turboderp/exllamav2/releases/download/v0.0.19/exllamav2-0.0.19+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/v0.0.19/exllamav2-0.0.19+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/v0.0.19/exllamav2-0.0.19-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" +https://github.com/Dao-AILab/flash-attention/releases/download/v2.5.6/flash_attn-2.5.6+cu122torch2.2cxx11abiFALSE-cp310-cp310-linux_x86_64.whl; platform_system == "Linux" and platform_machine == "x86_64" 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-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-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" +autoawq==0.2.3; platform_system == "Linux" or platform_system == "Windows"