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https://github.com/oobabooga/text-generation-webui.git
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Add back my llama-cpp-python wheels, bump to 0.2.65 (#5964)
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README.md
20
README.md
@ -107,13 +107,16 @@ pip install -r <requirements file according to table below>
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Requirements file to use:
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| GPU | requirements file to use |
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|--------|---------|
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| NVIDIA | `requirements.txt` |
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| AMD | `requirements_amd.txt` |
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| CPU only | `requirements_cpu_only.txt` |
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| Apple Intel | `requirements_apple_intel.txt` |
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| Apple Silicon | `requirements_apple_silicon.txt` |
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| GPU | CPU | requirements file to use |
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|--------|---------|---------|
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| NVIDIA | has AVX2 | `requirements.txt` |
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| NVIDIA | no AVX2 | `requirements_noavx2.txt` |
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| AMD | has AVX2 | `requirements_amd.txt` |
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| AMD | no AVX2 | `requirements_amd_noavx2.txt` |
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| CPU only | has AVX2 | `requirements_cpu_only.txt` |
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| CPU only | no AVX2 | `requirements_cpu_only_noavx2.txt` |
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| Apple | Intel | `requirements_apple_intel.txt` |
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| Apple | Apple Silicon | `requirements_apple_silicon.txt` |
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### Start the web UI
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@ -129,7 +132,7 @@ Then browse to
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##### AMD GPU on Windows
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1) Use `requirements_cpu_only.txt` in the command above.
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1) Use `requirements_cpu_only.txt` or `requirements_cpu_only_noavx2.txt` in the command above.
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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).
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* Use the `LLAMA_HIPBLAS=on` toggle.
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@ -252,6 +255,7 @@ 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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@ -21,7 +21,7 @@ Options:
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* **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.
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* **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.
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* **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.
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* **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.
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* **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).
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* **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).
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* **bf16**: Use bfloat16 precision instead of float16 (the default). Only applies when quantization is not used.
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* **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.
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@ -84,7 +84,9 @@ Example: https://huggingface.co/TheBloke/Llama-2-7b-Chat-GGUF
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* **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.
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* **threads**: Number of threads. Recommended value: your number of physical cores.
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* **threads_batch**: Number of threads for batch processing. Recommended value: your total number of cores (physical + virtual).
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* **tensorcores**: Use llama.cpp compiled with "tensor cores" support, which improves performance on NVIDIA RTX cards in most cases.
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* **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.
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* **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.
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* **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.
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* **no-mmap**: Loads the model into memory at once, possibly preventing I/O operations later on at the cost of a longer load time.
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* **mlock**: Force the system to keep the model in RAM rather than swapping or compressing (no idea what this means, never used it).
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@ -1,11 +1,25 @@
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from typing import Sequence
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import llama_cpp
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from tqdm import tqdm
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from modules import shared
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from modules.cache_utils import process_llamacpp_cache
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try:
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import llama_cpp
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except:
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llama_cpp = None
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try:
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import llama_cpp_cuda
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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 eval_with_progress(self, tokens: Sequence[int]):
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"""
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@ -67,7 +81,7 @@ def monkey_patch_generate(lib):
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lib.Llama.generate = my_generate
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for lib in [llama_cpp]:
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for lib in [llama_cpp, llama_cpp_cuda, llama_cpp_cuda_tensorcores]:
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if lib is not None:
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lib.Llama.eval = eval_with_progress
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monkey_patch_generate(lib)
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@ -2,7 +2,6 @@ import os
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from pathlib import Path
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from typing import Any, Dict, Optional, Union
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import llama_cpp
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import torch
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from torch.nn import CrossEntropyLoss
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from transformers import GenerationConfig, PretrainedConfig, PreTrainedModel
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@ -11,6 +10,32 @@ from transformers.modeling_outputs import CausalLMOutputWithPast
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from modules import RoPE, llama_cpp_python_hijack, shared
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from modules.logging_colors import logger
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try:
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import llama_cpp
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except:
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llama_cpp = None
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try:
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import llama_cpp_cuda
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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:
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return llama_cpp
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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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def __init__(self, model, path):
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@ -32,7 +57,7 @@ class LlamacppHF(PreTrainedModel):
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'n_tokens': self.model.n_tokens,
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'input_ids': self.model.input_ids.copy(),
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'scores': self.model.scores.copy(),
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'ctx': llama_cpp.llama_new_context_with_model(model.model, model.context_params)
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'ctx': llama_cpp_lib().llama_new_context_with_model(model.model, model.context_params)
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}
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def _validate_model_class(self):
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@ -195,7 +220,7 @@ class LlamacppHF(PreTrainedModel):
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'split_mode': 1 if not shared.args.row_split else 2
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}
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Llama = llama_cpp.Llama
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Llama = llama_cpp_lib().Llama
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model = Llama(**params)
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return LlamacppHF(model, model_file)
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@ -1,7 +1,6 @@
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import re
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from functools import partial
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import llama_cpp
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import numpy as np
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import torch
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@ -10,6 +9,32 @@ from modules.callbacks import Iteratorize
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from modules.logging_colors import logger
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from modules.text_generation import get_max_prompt_length
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try:
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import llama_cpp
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except:
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llama_cpp = None
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try:
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import llama_cpp_cuda
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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:
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return llama_cpp
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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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logits[eos_token] = -float('inf')
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@ -35,8 +60,8 @@ class LlamaCppModel:
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@classmethod
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def from_pretrained(self, path):
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Llama = llama_cpp.Llama
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LlamaCache = llama_cpp.LlamaCache
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Llama = llama_cpp_lib().Llama
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LlamaCache = llama_cpp_lib().LlamaCache
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result = self()
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cache_capacity = 0
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@ -101,12 +126,12 @@ class LlamaCppModel:
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if string != self.grammar_string:
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self.grammar_string = string
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if string.strip() != '':
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self.grammar = llama_cpp.LlamaGrammar.from_string(string)
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self.grammar = llama_cpp_lib().LlamaGrammar.from_string(string)
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else:
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self.grammar = None
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def generate(self, prompt, state, callback=None):
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LogitsProcessorList = llama_cpp.LogitsProcessorList
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LogitsProcessorList = llama_cpp_lib().LogitsProcessorList
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prompt = prompt if type(prompt) is str else prompt.decode()
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# Handle truncation
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@ -41,9 +41,11 @@ loaders_and_params = OrderedDict({
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'alpha_value',
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'rope_freq_base',
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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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'row_split',
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'tensorcores',
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'streaming_llm',
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'attention_sink_size',
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],
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@ -60,6 +62,7 @@ loaders_and_params = OrderedDict({
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'alpha_value',
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'rope_freq_base',
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'compress_pos_emb',
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'cpu',
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'numa',
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'cfg_cache',
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'trust_remote_code',
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@ -67,6 +70,7 @@ loaders_and_params = OrderedDict({
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'logits_all',
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'no_offload_kqv',
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'row_split',
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'tensorcores',
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'streaming_llm',
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'attention_sink_size',
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'llamacpp_HF_info',
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@ -114,6 +114,7 @@ group.add_argument('--quant_type', type=str, default='nf4', help='quant_type for
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# llama.cpp
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group = parser.add_argument_group('llama.cpp')
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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.')
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group.add_argument('--n_ctx', type=int, default=2048, help='Size of the prompt context.')
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group.add_argument('--threads', type=int, default=0, help='Number of threads to use.')
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group.add_argument('--threads-batch', type=int, default=0, help='Number of threads to use for batches/prompt processing.')
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@ -204,8 +205,7 @@ group = parser.add_argument_group('Multimodal')
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group.add_argument('--multimodal-pipeline', type=str, default=None, help='The multimodal pipeline to use. Examples: llava-7b, llava-13b.')
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# Deprecated parameters
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group = parser.add_argument_group('Deprecated')
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group.add_argument('--tensorcores', action='store_true', help='DEPRECATED')
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# group = parser.add_argument_group('Deprecated')
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args = parser.parse_args()
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args_defaults = parser.parse_args([])
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@ -215,7 +215,7 @@ for arg in sys.argv[1:]:
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if hasattr(args, arg):
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provided_arguments.append(arg)
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deprecated_args = ['tensorcores']
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deprecated_args = []
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def do_cmd_flags_warnings():
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@ -103,6 +103,7 @@ def list_model_elements():
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'logits_all',
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'no_offload_kqv',
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'row_split',
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'tensorcores',
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'streaming_llm',
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'attention_sink_size',
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'hqq_backend',
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@ -119,6 +119,7 @@ def create_ui():
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shared.gradio['use_double_quant'] = gr.Checkbox(label="use_double_quant", value=shared.args.use_double_quant)
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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.')
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shared.gradio['auto_devices'] = gr.Checkbox(label="auto-devices", value=shared.args.auto_devices)
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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.')
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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.')
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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.')
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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.')
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35
one_click.py
35
one_click.py
@ -58,6 +58,32 @@ def is_x86_64():
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return platform.machine() == "x86_64"
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def cpu_has_avx2():
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try:
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import cpuinfo
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info = cpuinfo.get_cpu_info()
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if 'avx2' in info['flags']:
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return True
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else:
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return False
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except:
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return True
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def cpu_has_amx():
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try:
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import cpuinfo
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info = cpuinfo.get_cpu_info()
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if 'amx' in info['flags']:
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return True
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else:
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return False
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except:
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return True
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def torch_version():
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site_packages_path = None
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for sitedir in site.getsitepackages():
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@ -279,7 +305,7 @@ def install_webui():
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# Install Git and then Pytorch
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print_big_message("Installing PyTorch.")
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run_cmd(f"conda install -y -k ninja git && {install_pytorch}", assert_success=True, environment=True)
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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)
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if selected_gpu == "INTEL":
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# Install oneAPI dependencies via conda
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@ -346,13 +372,13 @@ def update_requirements(initial_installation=False, pull=True):
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is_cpu = '+cpu' in torver # 2.0.1+cpu
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if is_rocm:
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base_requirements = "requirements_amd.txt"
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base_requirements = "requirements_amd" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
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elif is_cpu or is_intel:
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base_requirements = "requirements_cpu_only.txt"
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base_requirements = "requirements_cpu_only" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
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elif is_macos():
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base_requirements = "requirements_apple_" + ("intel" if is_x86_64() else "silicon") + ".txt"
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else:
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base_requirements = "requirements.txt"
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base_requirements = "requirements" + ("_noavx2" if not cpu_has_avx2() else "") + ".txt"
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requirements_file = base_requirements
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@ -363,7 +389,6 @@ def update_requirements(initial_installation=False, pull=True):
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textgen_requirements = open(requirements_file).read().splitlines()
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if is_cuda118:
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textgen_requirements = [req.replace('+cu121', '+cu118').replace('+cu122', '+cu118') for req in textgen_requirements]
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textgen_requirements = [req for req in textgen_requirements if '-cu121' not in req]
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if is_windows() and is_cuda118: # No flash-attention on Windows for CUDA 11
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textgen_requirements = [req for req in textgen_requirements if 'oobabooga/flash-attention' not in req]
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@ -33,11 +33,23 @@ flask_cloudflared==0.0.14
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sse-starlette==1.6.5
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tiktoken
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# llama-cpp-python (CUDA)
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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"
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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"
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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"
|
||||
|
||||
@ -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"
|
||||
|
||||
49
requirements_amd_noavx2.txt
Normal file
49
requirements_amd_noavx2.txt
Normal file
@ -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"
|
||||
@ -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
|
||||
|
||||
@ -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
|
||||
|
||||
@ -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"
|
||||
|
||||
38
requirements_cpu_only_noavx2.txt
Normal file
38
requirements_cpu_only_noavx2.txt
Normal file
@ -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"
|
||||
72
requirements_noavx2.txt
Normal file
72
requirements_noavx2.txt
Normal file
@ -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"
|
||||
Loading…
Reference in New Issue
Block a user