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config.json ADDED
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+ {
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+ "_name_or_path": "/home/training/.cache/huggingface/hub/models--Qwen--QwQ-32B-Preview/snapshots/1032e81cb936c486aae1d33da75b2fbcd5deed4a",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "compression_config": {
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+ "config_groups": {
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+ "group_0": {
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+ "input_activations": {
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+ "actorder": null,
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+ "block_structure": null,
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+ "dynamic": true,
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+ "group_size": null,
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+ "num_bits": 8,
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+ "observer": "memoryless",
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+ "observer_kwargs": {},
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+ "strategy": "token",
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+ "symmetric": true,
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+ "type": "float"
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+ },
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+ "output_activations": null,
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+ "targets": [
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+ "Linear"
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+ ],
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+ "weights": {
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+ "actorder": null,
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+ "block_structure": null,
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+ "dynamic": false,
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+ "group_size": null,
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+ "num_bits": 8,
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+ "observer": "minmax",
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+ "observer_kwargs": {},
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+ "strategy": "channel",
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+ "symmetric": true,
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+ "type": "float"
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+ }
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+ }
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+ },
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+ "format": "float-quantized",
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+ "global_compression_ratio": 1.2403221841578163,
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+ "ignore": [
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+ "lm_head"
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+ ],
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+ "kv_cache_scheme": null,
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+ "quant_method": "compressed-tensors",
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+ "quantization_status": "compressed"
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+ },
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 27648,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 64,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 64,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.47.0.dev0",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 151643,
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+ "do_sample": true,
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+ "eos_token_id": [
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+ 151645,
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+ 151643
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+ ],
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+ "pad_token_id": 151643,
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+ "temperature": 0.7,
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+ "top_k": 20,
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+ "top_p": 0.8,
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+ "transformers_version": "4.47.0.dev0"
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+ }
model.safetensors.index.json ADDED
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recipe.yaml ADDED
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+ DEFAULT_stage:
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+ DEFAULT_modifiers:
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+ QuantizationModifier:
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+ ignore: [lm_head]
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+ targets: Linear
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+ scheme: FP8_DYNAMIC
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ }
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+ },
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+ "additional_special_tokens": [
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+ "<|im_start|>",
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+ "<|im_end|>",
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+ "<|object_ref_start|>",
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+ "<|box_start|>",
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+ "<|quad_start|>",
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+ "<|vision_start|>",
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+ "<|vision_pad|>",
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+ "<|image_pad|>",
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+ "<|video_pad|>"
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+ ],
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+ "bos_token": null,
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+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "errors": "replace",
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+ "model_max_length": 32768,
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+ "pad_token": "<|endoftext|>",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null,
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+ "add_bos_token": false
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+ }
vocab.json ADDED
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