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transformers: Add eager attention option to make Gemma-2 work properly (#6188)
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@ -21,6 +21,7 @@ loaders_and_params = OrderedDict({
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'trust_remote_code',
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'trust_remote_code',
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'no_use_fast',
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'no_use_fast',
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'use_flash_attention_2',
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'use_flash_attention_2',
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'use_eager_attention',
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'alpha_value',
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'alpha_value',
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'compress_pos_emb',
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'compress_pos_emb',
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'disable_exllama',
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'disable_exllama',
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@ -146,6 +146,9 @@ def huggingface_loader(model_name):
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if shared.args.force_safetensors:
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if shared.args.force_safetensors:
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params['force_safetensors'] = True
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params['force_safetensors'] = True
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if shared.args.use_eager_attention:
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params['attn_implementation'] = 'eager'
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config = AutoConfig.from_pretrained(path_to_model, trust_remote_code=shared.args.trust_remote_code)
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config = AutoConfig.from_pretrained(path_to_model, trust_remote_code=shared.args.trust_remote_code)
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if 'chatglm' in model_name.lower():
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if 'chatglm' in model_name.lower():
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@ -106,6 +106,7 @@ group.add_argument('--trust-remote-code', action='store_true', help='Set trust_r
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group.add_argument('--force-safetensors', action='store_true', help='Set use_safetensors=True while loading the model. This prevents arbitrary code execution.')
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group.add_argument('--force-safetensors', action='store_true', help='Set use_safetensors=True while loading the model. This prevents arbitrary code execution.')
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group.add_argument('--no_use_fast', action='store_true', help='Set use_fast=False while loading the tokenizer (it\'s True by default). Use this if you have any problems related to use_fast.')
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group.add_argument('--no_use_fast', action='store_true', help='Set use_fast=False while loading the tokenizer (it\'s True by default). Use this if you have any problems related to use_fast.')
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group.add_argument('--use_flash_attention_2', action='store_true', help='Set use_flash_attention_2=True while loading the model.')
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group.add_argument('--use_flash_attention_2', action='store_true', help='Set use_flash_attention_2=True while loading the model.')
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group.add_argument('--use_eager_attention', action='store_true', help='Set attn_implementation= eager while loading the model.')
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# bitsandbytes 4-bit
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# bitsandbytes 4-bit
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group = parser.add_argument_group('bitsandbytes 4-bit')
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group = parser.add_argument_group('bitsandbytes 4-bit')
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@ -69,6 +69,7 @@ def list_model_elements():
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'trust_remote_code',
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'trust_remote_code',
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'no_use_fast',
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'no_use_fast',
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'use_flash_attention_2',
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'use_flash_attention_2',
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'use_eager_attention',
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'load_in_4bit',
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'load_in_4bit',
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'compute_dtype',
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'compute_dtype',
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'quant_type',
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'quant_type',
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@ -115,6 +115,7 @@ def create_ui():
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shared.gradio['load_in_4bit'] = gr.Checkbox(label="load-in-4bit", value=shared.args.load_in_4bit)
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shared.gradio['load_in_4bit'] = gr.Checkbox(label="load-in-4bit", value=shared.args.load_in_4bit)
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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_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['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['use_eager_attention'] = gr.Checkbox(label="use_eager_attention", value=shared.args.use_eager_attention, info='Set attn_implementation= eager while loading the model.')
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shared.gradio['flash_attn'] = gr.Checkbox(label="flash_attn", value=shared.args.flash_attn, info='Use flash-attention.')
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shared.gradio['flash_attn'] = gr.Checkbox(label="flash_attn", value=shared.args.flash_attn, info='Use flash-attention.')
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shared.gradio['auto_devices'] = gr.Checkbox(label="auto-devices", value=shared.args.auto_devices)
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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['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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