mirror of
https://github.com/oobabooga/text-generation-webui.git
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101 lines
2.1 KiB
Python
101 lines
2.1 KiB
Python
import functools
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import gradio as gr
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from modules import shared
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loaders_and_params = {
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'AutoGPTQ': [
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'triton',
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'no_inject_fused_attention',
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'no_inject_fused_mlp',
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'no_use_cuda_fp16',
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'wbits',
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'groupsize',
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'desc_act',
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'gpu_memory',
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'cpu_memory',
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'cpu',
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'disk',
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'auto_devices',
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'trust_remote_code',
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'autogptq_info',
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],
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'GPTQ-for-LLaMa': [
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'wbits',
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'groupsize',
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'model_type',
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'pre_layer',
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'gptq_for_llama_info',
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],
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'llama.cpp': [
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'n_ctx',
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'n_gpu_layers',
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'n_batch',
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'threads',
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'no_mmap',
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'mlock',
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'llama_cpp_seed',
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],
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'Transformers': [
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'cpu_memory',
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'gpu_memory',
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'trust_remote_code',
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'load_in_8bit',
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'bf16',
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'cpu',
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'disk',
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'auto_devices',
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'load_in_4bit',
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'use_double_quant',
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'quant_type',
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'compute_dtype',
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'trust_remote_code',
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'transformers_info'
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],
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'ExLlama' : [
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'gpu_split',
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'max_seq_len',
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'compress_pos_emb',
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'exllama_info',
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],
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'ExLlama_HF' : [
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'gpu_split',
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'max_seq_len',
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'compress_pos_emb',
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'exllama_HF_info',
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]
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}
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def get_gpu_memory_keys():
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return [k for k in shared.gradio if k.startswith('gpu_memory')]
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@functools.cache
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def get_all_params():
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all_params = set()
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for k in loaders_and_params:
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for el in loaders_and_params[k]:
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all_params.add(el)
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if 'gpu_memory' in all_params:
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all_params.remove('gpu_memory')
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for k in get_gpu_memory_keys():
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all_params.add(k)
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return sorted(all_params)
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def make_loader_params_visible(loader):
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params = []
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all_params = get_all_params()
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if loader in loaders_and_params:
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params = loaders_and_params[loader]
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if 'gpu_memory' in params:
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params.remove('gpu_memory')
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params += get_gpu_memory_keys()
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return [gr.update(visible=True) if k in params else gr.update(visible=False) for k in all_params]
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