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Add files using upload-large-folder tool

Browse files
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/README.md ADDED
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+ # Quantized Model Checkpoint
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+
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+ **Base model:** Qwen/Qwen3-32B
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+
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+ **Average bitwidth:** 5.5305
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+
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+ **Sensitivity method:** shapley
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+
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+ **Constraints:**
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+ - max_kl: 0.005
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+ - min_eap: 0.99
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+
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+ **Metrics:**
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+ - final_kl: 0.001976
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+ - final_eap: 0.990013
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+ - final_etl: 0.009987
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+
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+ See `quantization_config.txt` for full configuration details.
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/added_tokens.json ADDED
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+ {
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+ "</think>": 151668,
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+ "</tool_call>": 151658,
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+ "</tool_response>": 151666,
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+ "<think>": 151667,
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+ "<tool_call>": 151657,
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+ "<tool_response>": 151665,
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+ "<|box_end|>": 151649,
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+ "<|box_start|>": 151648,
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+ "<|endoftext|>": 151643,
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+ "<|file_sep|>": 151664,
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+ "<|fim_middle|>": 151660,
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+ "<|fim_pad|>": 151662,
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+ "<|fim_prefix|>": 151659,
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+ "<|fim_suffix|>": 151661,
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+ "<|im_end|>": 151645,
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+ "<|im_start|>": 151644,
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+ "<|image_pad|>": 151655,
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+ "<|object_ref_end|>": 151647,
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+ "<|object_ref_start|>": 151646,
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+ "<|quad_end|>": 151651,
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+ "<|quad_start|>": 151650,
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+ "<|repo_name|>": 151663,
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+ "<|video_pad|>": 151656,
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+ "<|vision_end|>": 151653,
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+ "<|vision_pad|>": 151654,
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+ "<|vision_start|>": 151652
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+ }
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/chat_template.jinja ADDED
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+ {%- if tools %}
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+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0].role == 'system' %}
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+ {{- messages[0].content + '\n\n' }}
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+ {%- endif %}
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+ {{- "# 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>" }}
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+ {%- for tool in tools %}
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+ {{- "\n" }}
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+ {{- tool | tojson }}
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+ {%- endfor %}
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+ {{- "\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" }}
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+ {%- else %}
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+ {%- if messages[0].role == 'system' %}
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+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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+ {%- for message in messages[::-1] %}
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+ {%- set index = (messages|length - 1) - loop.index0 %}
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+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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+ {%- set ns.multi_step_tool = false %}
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+ {%- set ns.last_query_index = index %}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- for message in messages %}
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+ {%- if message.content is string %}
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+ {%- set content = message.content %}
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+ {%- else %}
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+ {%- set content = '' %}
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+ {%- endif %}
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+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {%- set reasoning_content = '' %}
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+ {%- if message.reasoning_content is string %}
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+ {%- set reasoning_content = message.reasoning_content %}
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+ {%- else %}
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+ {%- if '</think>' in content %}
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+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- if loop.index0 > ns.last_query_index %}
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+ {%- if loop.last or (not loop.last and reasoning_content) %}
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+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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+ {%- else %}
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+ {{- '<|im_start|>' + message.role + '\n' + content }}
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+ {%- endif %}
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+ {%- else %}
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+ {{- '<|im_start|>' + message.role + '\n' + content }}
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+ {%- endif %}
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+ {%- if message.tool_calls %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if (loop.first and content) or (not loop.first) %}
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+ {{- '\n' }}
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+ {%- endif %}
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+ {%- if tool_call.function %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {%- if tool_call.arguments is string %}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- tool_call.arguments | tojson }}
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+ {%- endif %}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {{- content }}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- if enable_thinking is defined and enable_thinking is false %}
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+ {{- '<think>\n\n</think>\n\n' }}
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+ {%- endif %}
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+ {%- endif %}
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/config.json ADDED
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+ {
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+ "architectures": [
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+ "Qwen3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "dtype": "float16",
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+ "eos_token_id": 151645,
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+ "head_dim": 128,
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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": 25600,
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+ "layer_types": [
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention",
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+ "full_attention"
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+ ],
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+ "max_position_embeddings": 40960,
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+ "max_window_layers": 64,
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+ "model_type": "qwen3",
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+ "num_attention_heads": 64,
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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-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "transformers_version": "4.57.3",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/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": 0.6,
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+ "top_k": 20,
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+ "top_p": 0.95,
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+ "transformers_version": "4.57.3"
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+ }
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
Qwen3-32B/ll_bsearch_kl0.005_eap0.99_sha_bw5.53_4-5-6-7-8bit_grouped_seed42/quantization_config.txt ADDED
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+ # Model: Qwen/Qwen3-32B
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+ # Layer directory: /nfs/scistore19/alistgrp/mhelcig/local/data/search/4_5_6_7_8bit_asym_g128/Qwen3-32B/4bit
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+ # Sensitivity method: shapley
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+ # Estimation method: permutation
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+ # Available bitwidths: [4, 5, 6, 7, 8]
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+ # Bitwidth map: {4: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
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+ #
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+ # Mode: binary_search_constraint (measured)
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+ # Constraint max_kl: 0.005
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+ # Constraint min_eap: 0.99
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+ # Weights: nll=0.0, kl=0.0, eap=1.0
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+ #
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+ # Average bitwidth: 5.5305
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+ # Total params: 19503513600
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+ # Total bits: 107863447962
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+ # Final KL: 0.001976
17
+ # Final EAP: 0.990013
18
+ # Final ETL: 0.009987
19
+ # Satisfies constraints: True
20
+ # Solver calls: 9
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+ # Evaluations: 9
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+ #
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+ # Bitwidth distribution:
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+ # 8-bit: 40 layers (14.3%)
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+ # 7-bit: 74 layers (26.4%)
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+ # 6-bit: 50 layers (17.9%)
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+ # 5-bit: 88 layers (31.4%)
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+ # 4-bit: 28 layers (10.0%)
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+ #
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+ model.layers.0.mlp.gate_proj: 4
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+ model.layers.0.mlp.up_proj: 4
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+ model.layers.0.self_attn.k_proj: 5
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+ model.layers.0.self_attn.q_proj: 5
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+ model.layers.0.self_attn.v_proj: 5
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+ model.layers.1.mlp.gate_proj: 5
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+ model.layers.1.mlp.up_proj: 5
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+ model.layers.1.self_attn.k_proj: 7
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+ model.layers.1.self_attn.q_proj: 7
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+ model.layers.1.self_attn.v_proj: 7
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+ model.layers.2.mlp.gate_proj: 4
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+ model.layers.2.mlp.up_proj: 4
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+ model.layers.2.self_attn.k_proj: 8
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+ model.layers.2.self_attn.q_proj: 8
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+ model.layers.2.self_attn.v_proj: 8
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+ model.layers.3.mlp.gate_proj: 4
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+ model.layers.3.mlp.up_proj: 4
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+ model.layers.3.self_attn.k_proj: 7
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+ model.layers.3.self_attn.q_proj: 7
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+ model.layers.3.self_attn.v_proj: 7
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+ model.layers.4.mlp.gate_proj: 4
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+ model.layers.4.mlp.up_proj: 4
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+ model.layers.4.self_attn.k_proj: 5
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+ model.layers.4.self_attn.q_proj: 5
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+ model.layers.4.self_attn.v_proj: 5
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+ model.layers.5.mlp.gate_proj: 5
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+ model.layers.5.mlp.up_proj: 5
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+ model.layers.5.self_attn.k_proj: 8
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+ model.layers.5.self_attn.q_proj: 8
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+ model.layers.5.self_attn.v_proj: 8
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+ model.layers.6.mlp.gate_proj: 4
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+ model.layers.6.mlp.up_proj: 4
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+ model.layers.6.self_attn.k_proj: 7
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+ model.layers.7.self_attn.v_proj: 8
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+ model.layers.8.mlp.gate_proj: 4
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+ model.layers.8.mlp.up_proj: 4
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+ model.layers.8.self_attn.k_proj: 7
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