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Llama-3.3-70B-Instruct/ll_4bit/README.md

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+# Quantized Model Checkpoint
+
+**Base model:** unknown
+
+**Average bitwidth:** unknown
+
+See `quantization_config.txt` for full configuration details.

Llama-3.3-70B-Instruct/ll_4bit/chat_template.jinja

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+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- set date_string = "26 Jul 2024" %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message + builtin tools #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if builtin_tools is defined or tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{%- if builtin_tools is defined %}
+    {{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- "<|python_tag|>" + tool_call.name + ".call(" }}
+            {%- for arg_name, arg_val in tool_call.arguments | items %}
+                {{- arg_name + '="' + arg_val + '"' }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- endif %}
+                {%- endfor %}
+            {{- ")" }}
+        {%- else  %}
+            {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+            {{- '{"name": "' + tool_call.name + '", ' }}
+            {{- '"parameters": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- "}" }}
+        {%- endif %}
+        {%- if builtin_tools is defined %}
+            {#- This means we're in ipython mode #}
+            {{- "<|eom_id|>" }}
+        {%- else %}
+            {{- "<|eot_id|>" }}
+        {%- endif %}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

Llama-3.3-70B-Instruct/ll_4bit/config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "dtype": "float16",
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_theta": 500000.0,
+    "rope_type": "llama3"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0",
+  "use_cache": false,
+  "vocab_size": 128256
+}

Llama-3.3-70B-Instruct/ll_4bit/generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "5.3.0"
+}

Llama-3.3-70B-Instruct/ll_4bit/humming_online_quant_config.json

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+{
+  "quant_method": "gptq",
+  "bits": 4,
+  "group_size": 128
+}

Llama-3.3-70B-Instruct/ll_4bit/model.safetensors.index.json

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Llama-3.3-70B-Instruct/ll_4bit/tokenizer_config.json

@@ -0,0 +1,14 @@
+{
+  "backend": "tokenizers",
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "is_local": false,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|finetune_right_pad_id|>",
+  "tokenizer_class": "TokenizersBackend"
+}

Qwen3-32B/ll_4bit/README.md

@@ -0,0 +1,7 @@
+# Quantized Model Checkpoint
+
+**Base model:** unknown
+
+**Average bitwidth:** unknown
+
+See `quantization_config.txt` for full configuration details.

Qwen3-32B/ll_4bit/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- 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>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

Qwen3-32B/ll_4bit/config.json

@@ -0,0 +1,99 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 25600,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 64,
+  "model_type": "qwen3",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

Qwen3-32B/ll_4bit/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.3.0"
+}

Qwen3-32B/ll_4bit/humming_online_quant_config.json

@@ -0,0 +1,5 @@
+{
+  "quant_method": "gptq",
+  "bits": 4,
+  "group_size": 128
+}

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+model.layers.36.self_attn.o_proj: 4
+model.layers.39.mlp.down_proj: 4
+model.layers.35.mlp.down_proj: 4
+model.layers.36.mlp.down_proj: 4
+model.layers.35.self_attn.o_proj: 4

Qwen3-32B/ll_4bit/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

Qwen3-8B/ll_4bit/README.md

@@ -0,0 +1,7 @@
+# Quantized Model Checkpoint
+
+**Base model:** unknown
+
+**Average bitwidth:** unknown
+
+See `quantization_config.txt` for full configuration details.

Qwen3-8B/ll_4bit/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- 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>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

Qwen3-8B/ll_4bit/config.json

@@ -0,0 +1,71 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "float16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

Qwen3-8B/ll_4bit/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.3.0"
+}

Qwen3-8B/ll_4bit/humming_online_quant_config.json

@@ -0,0 +1,5 @@
+{
+  "quant_method": "gptq",
+  "bits": 4,
+  "group_size": 128
+}

Qwen3-8B/ll_4bit/quantization_config.txt

@@ -0,0 +1,252 @@
+model.layers.23.self_attn.k_proj: 4
+model.layers.22.self_attn.o_proj: 4
+model.layers.4.self_attn.o_proj: 4
+model.layers.1.mlp.down_proj: 4
+model.layers.11.mlp.up_proj: 4
+model.layers.5.self_attn.k_proj: 4
+model.layers.14.self_attn.q_proj: 4
+model.layers.17.mlp.down_proj: 4
+model.layers.33.mlp.gate_proj: 4
+model.layers.5.self_attn.v_proj: 4
+model.layers.23.self_attn.v_proj: 4
+model.layers.27.mlp.gate_proj: 4
+model.layers.2.mlp.up_proj: 4
+model.layers.15.self_attn.q_proj: 4
+model.layers.23.self_attn.o_proj: 4
+model.layers.21.mlp.up_proj: 4
+model.layers.22.self_attn.k_proj: 4
+model.layers.4.mlp.down_proj: 4
+model.layers.4.self_attn.k_proj: 4
+model.layers.5.self_attn.o_proj: 4
+model.layers.31.mlp.up_proj: 4
+model.layers.4.self_attn.v_proj: 4
+model.layers.22.self_attn.v_proj: 4
+model.layers.22.mlp.gate_proj: 4
+model.layers.8.mlp.gate_proj: 4
+model.layers.12.mlp.down_proj: 4
+model.layers.7.mlp.gate_proj: 4
+model.layers.35.self_attn.o_proj: 4
+model.layers.21.self_attn.v_proj: 4
+model.layers.34.self_attn.k_proj: 4
+model.layers.7.self_attn.v_proj: 4
+model.layers.7.self_attn.k_proj: 4
+model.layers.6.self_attn.o_proj: 4
+model.layers.34.self_attn.v_proj: 4
+model.layers.20.self_attn.o_proj: 4
+model.layers.13.mlp.up_proj: 4
+model.layers.21.self_attn.k_proj: 4
+model.layers.35.mlp.down_proj: 4
+model.layers.28.self_attn.q_proj: 4
+model.layers.11.mlp.gate_proj: 4
+model.layers.16.self_attn.q_proj: 4
+model.layers.21.mlp.down_proj: 4
+model.layers.35.self_attn.k_proj: 4
+model.layers.33.mlp.up_proj: 4
+model.layers.20.self_attn.v_proj: 4
+model.layers.34.self_attn.o_proj: 4
+model.layers.6.self_attn.v_proj: 4
+model.layers.28.mlp.gate_proj: 4
+model.layers.2.mlp.gate_proj: 4
+model.layers.18.mlp.down_proj: 4
+model.layers.17.self_attn.q_proj: 4
+model.layers.0.mlp.up_proj: 4
+model.layers.24.mlp.down_proj: 4
+model.layers.23.mlp.up_proj: 4
+model.layers.7.self_attn.o_proj: 4
+model.layers.6.self_attn.k_proj: 4
+model.layers.29.self_attn.q_proj: 4
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+model.layers.30.mlp.down_proj: 4
+model.layers.14.mlp.gate_proj: 4
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+model.layers.35.self_attn.v_proj: 4
+model.layers.6.mlp.up_proj: 4
+model.layers.9.self_attn.q_proj: 4
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+model.layers.27.self_attn.o_proj: 4
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+model.layers.0.mlp.gate_proj: 4
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+model.layers.25.mlp.up_proj: 4
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+model.layers.35.mlp.up_proj: 4
+model.layers.32.self_attn.o_proj: 4
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Qwen3-8B/ll_4bit/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

Qwen3.5-27B/ll_4bit/README.md

@@ -0,0 +1,7 @@
+# Quantized Model Checkpoint
+
+**Base model:** unknown
+
+**Average bitwidth:** unknown
+
+See `quantization_config.txt` for full configuration details.

Qwen3.5-27B/ll_4bit/chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

Qwen3.5-27B/ll_4bit/config.json

@@ -0,0 +1,138 @@
+{
+  "vision_start_token_id": 248053,
+  "video_token_id": 248057,
+  "image_token_id": 248056,
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "model_type": "qwen3_5",
+  "vision_end_token_id": 248054,
+  "tie_word_embeddings": false,
+  "vision_config": {
+    "deepstack_visual_indexes": [],
+    "depth": 27,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 4304,
+    "model_type": "qwen3_5",
+    "num_heads": 16,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 5120,
+    "patch_size": 16,
+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "transformers_version": "4.57.0.dev0",
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": null,
+    "dtype": "float16",
+    "eos_token_id": 248044,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 17408,
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention"
+    ],
+    "linear_conv_kernel_dim": 4,
+    "linear_key_head_dim": 128,
+    "linear_num_key_heads": 16,
+    "linear_num_value_heads": 48,
+    "linear_value_head_dim": 128,
+    "mamba_ssm_dtype": "float32",
+    "max_position_embeddings": 262144,
+    "mlp_only_layers": [],
+    "mtp_num_hidden_layers": 1,
+    "mtp_use_dedicated_embeddings": false,
+    "num_attention_heads": 24,
+    "num_hidden_layers": 64,
+    "num_key_value_heads": 4,
+    "pad_token_id": null,
+    "partial_rotary_factor": 0.25,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        11,
+        11,
+        10
+      ],
+      "partial_rotary_factor": 0.25,
+      "rope_theta": 10000000,
+      "rope_type": "default"
+    },
+    "use_cache": false,
+    "vocab_size": 248320,
+    "model_type": "qwen3_5_text"
+  }
+}

Qwen3.5-27B/ll_4bit/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 248044,
+  "do_sample": true,
+  "eos_token_id": [
+    248046,
+    248044
+  ],
+  "pad_token_id": 248044,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.3.0"
+}

Qwen3.5-27B/ll_4bit/humming_online_quant_config.json

@@ -0,0 +1,5 @@
+{
+  "quant_method": "gptq",
+  "bits": 4,
+  "group_size": 128
+}

Qwen3.5-27B/ll_4bit/model-00001-of-00002.safetensors

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Qwen3.5-27B/ll_4bit/preprocessor_config.json

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Qwen3.5-27B/ll_4bit/quantization_config.txt

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Qwen3.5-27B/ll_4bit/tokenizer_config.json

@@ -0,0 +1,31 @@
+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": false,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "split_special_tokens": false,
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

Qwen3.5-27B/ll_4bit/video_preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 25165824,
+        "shortest_edge": 4096
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "video_processor_type": "Qwen3VLVideoProcessor"
+}

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/README.md

@@ -0,0 +1,18 @@
+# Quantized Model Checkpoint
+
+**Base model:** Qwen/Qwen3.5-27B
+
+**Average bitwidth:** 5.1871
+
+**Sensitivity method:** linear
+
+**Constraints:**
+- max_kl: 0.005
+- min_eap: 0.985
+
+**Metrics:**
+- final_kl: 0.001887
+- final_eap: 0.985100
+- final_etl: 0.014900
+
+See `quantization_config.txt` for full configuration details.

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in content %}
+                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/config.json

@@ -0,0 +1,138 @@
+{
+  "vision_start_token_id": 248053,
+  "video_token_id": 248057,
+  "image_token_id": 248056,
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "model_type": "qwen3_5",
+  "vision_end_token_id": 248054,
+  "tie_word_embeddings": false,
+  "vision_config": {
+    "deepstack_visual_indexes": [],
+    "depth": 27,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "in_channels": 3,
+    "initializer_range": 0.02,
+    "intermediate_size": 4304,
+    "model_type": "qwen3_5",
+    "num_heads": 16,
+    "num_position_embeddings": 2304,
+    "out_hidden_size": 5120,
+    "patch_size": 16,
+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "transformers_version": "4.57.0.dev0",
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": null,
+    "dtype": "float16",
+    "eos_token_id": 248044,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 17408,
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention"
+    ],
+    "linear_conv_kernel_dim": 4,
+    "linear_key_head_dim": 128,
+    "linear_num_key_heads": 16,
+    "linear_num_value_heads": 48,
+    "linear_value_head_dim": 128,
+    "mamba_ssm_dtype": "float32",
+    "max_position_embeddings": 262144,
+    "mlp_only_layers": [],
+    "mtp_num_hidden_layers": 1,
+    "mtp_use_dedicated_embeddings": false,
+    "num_attention_heads": 24,
+    "num_hidden_layers": 64,
+    "num_key_value_heads": 4,
+    "pad_token_id": null,
+    "partial_rotary_factor": 0.25,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        11,
+        11,
+        10
+      ],
+      "partial_rotary_factor": 0.25,
+      "rope_theta": 10000000,
+      "rope_type": "default"
+    },
+    "use_cache": false,
+    "vocab_size": 248320,
+    "model_type": "qwen3_5_text"
+  }
+}

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 248044,
+  "do_sample": true,
+  "eos_token_id": [
+    248046,
+    248044
+  ],
+  "pad_token_id": 248044,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.3.0"
+}

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/humming_online_quant_config.json

@@ -0,0 +1,457 @@
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+  "quant_method": "gptq",
+  "bits": 5,
+  "group_size": 128,
+  "dynamic": {
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+  }
+}

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 16777216,
+        "shortest_edge": 65536
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "image_processor_type": "Qwen2VLImageProcessorFast"
+}

Qwen3.5-27B/ll_bsearch_kl0.005_eap0.985_lin_bw5.19_4-5-6-8bit_grouped_seed42/quantization_config.txt

@@ -0,0 +1,878 @@
+# Model: Qwen/Qwen3.5-27B
+# Layer directory: /nfs/scistore19/alistgrp/mhelcig/data/search/4_5_6_7_8bit_asym_g128/Qwen3.5-27B/4bit/
+# Sensitivity method: linear
+# Estimation method: linear
+# Available bitwidths: [4, 5, 6, 7, 8]
+# Bitwidth map: {4: 4.156, 5: 5.156, 6: 6.156, 7: 7.156, 8: 8.156}
+#
+# Layer groups: 368 groups (fused layers share bitwidth)
+#   block_0:mlp.gate_proj,mlp.up_proj.block_0:mlp.gate_proj,mlp.up_proj: group 0, 2 layers
+#   block_10:mlp.gate_proj,mlp.up_proj.block_10:mlp.gate_proj,mlp.up_proj: group 10, 2 layers
+#   block_11:mlp.gate_proj,mlp.up_proj.block_11:mlp.gate_proj,mlp.up_proj: group 11, 2 layers
+#   block_12:mlp.gate_proj,mlp.up_proj.block_12:mlp.gate_proj,mlp.up_proj: group 12, 2 layers
+#   block_13:mlp.gate_proj,mlp.up_proj.block_13:mlp.gate_proj,mlp.up_proj: group 13, 2 layers
+#   block_14:mlp.gate_proj,mlp.up_proj.block_14:mlp.gate_proj,mlp.up_proj: group 14, 2 layers
+#   block_15:mlp.gate_proj,mlp.up_proj.block_15:mlp.gate_proj,mlp.up_proj: group 15, 2 layers
+#   block_16:mlp.gate_proj,mlp.up_proj.block_16:mlp.gate_proj,mlp.up_proj: group 16, 2 layers
+#   block_17:mlp.gate_proj,mlp.up_proj.block_17:mlp.gate_proj,mlp.up_proj: group 17, 2 layers
+#   block_18:mlp.gate_proj,mlp.up_proj.block_18:mlp.gate_proj,mlp.up_proj: group 18, 2 layers
+#   block_19:mlp.gate_proj,mlp.up_proj.block_19:mlp.gate_proj,mlp.up_proj: group 19, 2 layers
+#   block_1:mlp.gate_proj,mlp.up_proj.block_1:mlp.gate_proj,mlp.up_proj: group 1, 2 layers
+#   block_20:mlp.gate_proj,mlp.up_proj.block_20:mlp.gate_proj,mlp.up_proj: group 20, 2 layers
+#   block_21:mlp.gate_proj,mlp.up_proj.block_21:mlp.gate_proj,mlp.up_proj: group 21, 2 layers
+#   block_22:mlp.gate_proj,mlp.up_proj.block_22:mlp.gate_proj,mlp.up_proj: group 22, 2 layers
+#   block_23:mlp.gate_proj,mlp.up_proj.block_23:mlp.gate_proj,mlp.up_proj: group 23, 2 layers
+#   block_24:mlp.gate_proj,mlp.up_proj.block_24:mlp.gate_proj,mlp.up_proj: group 24, 2 layers
+#   block_25:mlp.gate_proj,mlp.up_proj.block_25:mlp.gate_proj,mlp.up_proj: group 25, 2 layers
+#   block_26:mlp.gate_proj,mlp.up_proj.block_26:mlp.gate_proj,mlp.up_proj: group 26, 2 layers
+#   block_27:mlp.gate_proj,mlp.up_proj.block_27:mlp.gate_proj,mlp.up_proj: group 27, 2 layers
+#   block_28:mlp.gate_proj,mlp.up_proj.block_28:mlp.gate_proj,mlp.up_proj: group 28, 2 layers
+#   block_29:mlp.gate_proj,mlp.up_proj.block_29:mlp.gate_proj,mlp.up_proj: group 29, 2 layers
+#   block_2:mlp.gate_proj,mlp.up_proj.block_2:mlp.gate_proj,mlp.up_proj: group 2, 2 layers
+#   block_30:mlp.gate_proj,mlp.up_proj.block_30:mlp.gate_proj,mlp.up_proj: group 30, 2 layers
+#   block_31:mlp.gate_proj,mlp.up_proj.block_31:mlp.gate_proj,mlp.up_proj: group 31, 2 layers
+#   block_32:mlp.gate_proj,mlp.up_proj.block_32:mlp.gate_proj,mlp.up_proj: group 32, 2 layers
+#   block_33:mlp.gate_proj,mlp.up_proj.block_33:mlp.gate_proj,mlp.up_proj: group 33, 2 layers
+#   block_34:mlp.gate_proj,mlp.up_proj.block_34:mlp.gate_proj,mlp.up_proj: group 34, 2 layers
+#   block_35:mlp.gate_proj,mlp.up_proj.block_35:mlp.gate_proj,mlp.up_proj: group 35, 2 layers
+#   block_36:mlp.gate_proj,mlp.up_proj.block_36:mlp.gate_proj,mlp.up_proj: group 36, 2 layers
+#   block_37:mlp.gate_proj,mlp.up_proj.block_37:mlp.gate_proj,mlp.up_proj: group 37, 2 layers
+#   block_38:mlp.gate_proj,mlp.up_proj.block_38:mlp.gate_proj,mlp.up_proj: group 38, 2 layers
+#   block_39:mlp.gate_proj,mlp.up_proj.block_39:mlp.gate_proj,mlp.up_proj: group 39, 2 layers
+#   block_3:mlp.gate_proj,mlp.up_proj.block_3:mlp.gate_proj,mlp.up_proj: group 3, 2 layers
+#   block_40:mlp.gate_proj,mlp.up_proj.block_40:mlp.gate_proj,mlp.up_proj: group 40, 2 layers
+#   block_41:mlp.gate_proj,mlp.up_proj.block_41:mlp.gate_proj,mlp.up_proj: group 41, 2 layers
+#   block_42:mlp.gate_proj,mlp.up_proj.block_42:mlp.gate_proj,mlp.up_proj: group 42, 2 layers
+#   block_43:mlp.gate_proj,mlp.up_proj.block_43:mlp.gate_proj,mlp.up_proj: group 43, 2 layers
+#   block_44:mlp.gate_proj,mlp.up_proj.block_44:mlp.gate_proj,mlp.up_proj: group 44, 2 layers
+#   block_45:mlp.gate_proj,mlp.up_proj.block_45:mlp.gate_proj,mlp.up_proj: group 45, 2 layers
+#   block_46:mlp.gate_proj,mlp.up_proj.block_46:mlp.gate_proj,mlp.up_proj: group 46, 2 layers
+#   block_47:mlp.gate_proj,mlp.up_proj.block_47:mlp.gate_proj,mlp.up_proj: group 47, 2 layers
+#   block_48:mlp.gate_proj,mlp.up_proj.block_48:mlp.gate_proj,mlp.up_proj: group 48, 2 layers
+#   block_49:mlp.gate_proj,mlp.up_proj.block_49:mlp.gate_proj,mlp.up_proj: group 49, 2 layers
+#   block_4:mlp.gate_proj,mlp.up_proj.block_4:mlp.gate_proj,mlp.up_proj: group 4, 2 layers
+#   block_50:mlp.gate_proj,mlp.up_proj.block_50:mlp.gate_proj,mlp.up_proj: group 50, 2 layers
+#   block_51:mlp.gate_proj,mlp.up_proj.block_51:mlp.gate_proj,mlp.up_proj: group 51, 2 layers
+#   block_52:mlp.gate_proj,mlp.up_proj.block_52:mlp.gate_proj,mlp.up_proj: group 52, 2 layers
+#   block_53:mlp.gate_proj,mlp.up_proj.block_53:mlp.gate_proj,mlp.up_proj: group 53, 2 layers
+#   block_54:mlp.gate_proj,mlp.up_proj.block_54:mlp.gate_proj,mlp.up_proj: group 54, 2 layers
+#   block_55:mlp.gate_proj,mlp.up_proj.block_55:mlp.gate_proj,mlp.up_proj: group 55, 2 layers
+#   block_56:mlp.gate_proj,mlp.up_proj.block_56:mlp.gate_proj,mlp.up_proj: group 56, 2 layers
+#   block_57:mlp.gate_proj,mlp.up_proj.block_57:mlp.gate_proj,mlp.up_proj: group 57, 2 layers
+#   block_58:mlp.gate_proj,mlp.up_proj.block_58:mlp.gate_proj,mlp.up_proj: group 58, 2 layers
+#   block_59:mlp.gate_proj,mlp.up_proj.block_59:mlp.gate_proj,mlp.up_proj: group 59, 2 layers
+#   block_5:mlp.gate_proj,mlp.up_proj.block_5:mlp.gate_proj,mlp.up_proj: group 5, 2 layers
+#   block_60:mlp.gate_proj,mlp.up_proj.block_60:mlp.gate_proj,mlp.up_proj: group 60, 2 layers
+#   block_61:mlp.gate_proj,mlp.up_proj.block_61:mlp.gate_proj,mlp.up_proj: group 61, 2 layers
+#   block_62:mlp.gate_proj,mlp.up_proj.block_62:mlp.gate_proj,mlp.up_proj: group 62, 2 layers
+#   block_63:mlp.gate_proj,mlp.up_proj.block_63:mlp.gate_proj,mlp.up_proj: group 63, 2 layers
+#   block_6:mlp.gate_proj,mlp.up_proj.block_6:mlp.gate_proj,mlp.up_proj: group 6, 2 layers
+#   block_7:mlp.gate_proj,mlp.up_proj.block_7:mlp.gate_proj,mlp.up_proj: group 7, 2 layers
+#   block_8:mlp.gate_proj,mlp.up_proj.block_8:mlp.gate_proj,mlp.up_proj: group 8, 2 layers
+#   block_9:mlp.gate_proj,mlp.up_proj.block_9:mlp.gate_proj,mlp.up_proj: group 9, 2 layers
+#   Fused in model.layers.0:
+#     - linear_attn.in_proj_qkv (group 87, 1 layers)
+#     - linear_attn.in_proj_a (group 88, 1 layers)
+#     - linear_attn.in_proj_b (group 166, 1 layers)
+#     - linear_attn.out_proj (group 202, 1 layers)
+#     - mlp.down_proj (group 229, 1 layers)
+#     - linear_attn.in_proj_z (group 325, 1 layers)
+#   Fused in model.layers.1:
+#     - linear_attn.in_proj_b (group 85, 1 layers)
+#     - linear_attn.out_proj (group 140, 1 layers)
+#     - linear_attn.in_proj_a (group 169, 1 layers)
+#     - mlp.down_proj (group 213, 1 layers)
+#     - linear_attn.in_proj_z (group 245, 1 layers)
+#     - linear_attn.in_proj_qkv (group 280, 1 layers)
+#   Fused in model.layers.10:
+#     - linear_attn.out_proj (group 159, 1 layers)
+#     - linear_attn.in_proj_z (group 193, 1 layers)
+#     - linear_attn.in_proj_a (group 255, 1 layers)
+#     - linear_attn.in_proj_qkv (group 289, 1 layers)
+#     - mlp.down_proj (group 327, 1 layers)
+#     - linear_attn.in_proj_b (group 333, 1 layers)
+#   model.layers.11.mlp.down_proj: group 129, 1 layers
+#   Fused in model.layers.12:
+#     - linear_attn.in_proj_qkv (group 69, 1 layers)
+#     - linear_attn.in_proj_a (group 122, 1 layers)
+#     - linear_attn.in_proj_b (group 194, 1 layers)
+#     - mlp.down_proj (group 267, 1 layers)
+#     - linear_attn.out_proj (group 320, 1 layers)
+#     - linear_attn.in_proj_z (group 335, 1 layers)
+#   Fused in model.layers.13:
+#     - linear_attn.in_proj_b (group 121, 1 layers)
+#     - mlp.down_proj (group 175, 1 layers)
+#     - linear_attn.in_proj_a (group 198, 1 layers)
+#     - linear_attn.out_proj (group 243, 1 layers)
+#     - linear_attn.in_proj_z (group 256, 1 layers)
+#     - linear_attn.in_proj_qkv (group 270, 1 layers)
+#   Fused in model.layers.14:
+#     - linear_attn.in_proj_a (group 119, 1 layers)
+#     - mlp.down_proj (group 141, 1 layers)
+#     - linear_attn.in_proj_b (group 179, 1 layers)
+#     - linear_attn.in_proj_qkv (group 324, 1 layers)
+#     - linear_attn.out_proj (group 341, 1 layers)
+#     - linear_attn.in_proj_z (group 343, 1 layers)
+#   model.layers.15.mlp.down_proj: group 303, 1 layers
+#   Fused in model.layers.16:
+#     - linear_attn.in_proj_qkv (group 99, 1 layers)
+#     - mlp.down_proj (group 153, 1 layers)
+#     - linear_attn.in_proj_z (group 178, 1 layers)
+#     - linear_attn.out_proj (group 200, 1 layers)
+#     - linear_attn.in_proj_a (group 266, 1 layers)
+#     - linear_attn.in_proj_b (group 342, 1 layers)
+#   Fused in model.layers.17:
+#     - linear_attn.in_proj_z (group 116, 1 layers)
+#     - linear_attn.out_proj (group 145, 1 layers)
+#     - linear_attn.in_proj_b (group 269, 1 layers)
+#     - linear_attn.in_proj_qkv (group 272, 1 layers)
+#     - mlp.down_proj (group 281, 1 layers)
+#     - linear_attn.in_proj_a (group 338, 1 layers)
+#   Fused in model.layers.18:
+#     - linear_attn.in_proj_a (group 142, 1 layers)
+#     - linear_attn.in_proj_b (group 208, 1 layers)
+#     - mlp.down_proj (group 220, 1 layers)
+#     - linear_attn.out_proj (group 238, 1 layers)
+#     - linear_attn.in_proj_z (group 352, 1 layers)
+#     - linear_attn.in_proj_qkv (group 363, 1 layers)
+#   model.layers.19.mlp.down_proj: group 204, 1 layers
+#   Fused in model.layers.2:
+#     - linear_attn.in_proj_z (group 167, 1 layers)
+#     - linear_attn.in_proj_a (group 241, 1 layers)
+#     - linear_attn.in_proj_qkv (group 316, 1 layers)
+#     - linear_attn.in_proj_b (group 326, 1 layers)
+#     - linear_attn.out_proj (group 351, 1 layers)
+#     - mlp.down_proj (group 361, 1 layers)
+#   Fused in model.layers.20:
+#     - linear_attn.in_proj_z (group 110, 1 layers)
+#     - mlp.down_proj (group 195, 1 layers)
+#     - linear_attn.out_proj (group 219, 1 layers)
+#     - linear_attn.in_proj_b (group 262, 1 layers)
+#     - linear_attn.in_proj_qkv (group 319, 1 layers)
+#     - linear_attn.in_proj_a (group 346, 1 layers)
+#   Fused in model.layers.21:
+#     - linear_attn.in_proj_z (group 183, 1 layers)
+#     - linear_attn.in_proj_qkv (group 211, 1 layers)
+#     - mlp.down_proj (group 249, 1 layers)
+#     - linear_attn.in_proj_a (group 261, 1 layers)
+#     - linear_attn.out_proj (group 306, 1 layers)
+#     - linear_attn.in_proj_b (group 349, 1 layers)
+#   Fused in model.layers.22:
+#     - linear_attn.in_proj_qkv (group 84, 1 layers)
+#     - linear_attn.out_proj (group 93, 1 layers)
+#     - mlp.down_proj (group 109, 1 layers)
+#     - linear_attn.in_proj_b (group 112, 1 layers)
+#     - linear_attn.in_proj_a (group 184, 1 layers)
+#     - linear_attn.in_proj_z (group 263, 1 layers)
+#   model.layers.23.mlp.down_proj: group 350, 1 layers
+#   Fused in model.layers.24:
+#     - linear_attn.out_proj (group 118, 1 layers)
+#     - linear_attn.in_proj_b (group 127, 1 layers)
+#     - linear_attn.in_proj_a (group 191, 1 layers)
+#     - mlp.down_proj (group 224, 1 layers)
+#     - linear_attn.in_proj_z (group 258, 1 layers)
+#     - linear_attn.in_proj_qkv (group 295, 1 layers)
+#   Fused in model.layers.25:
+#     - linear_attn.in_proj_a (group 128, 1 layers)
+#     - linear_attn.in_proj_qkv (group 181, 1 layers)
+#     - linear_attn.in_proj_b (group 187, 1 layers)
+#     - linear_attn.out_proj (group 192, 1 layers)
+#     - mlp.down_proj (group 206, 1 layers)
+#     - linear_attn.in_proj_z (group 331, 1 layers)
+#   Fused in model.layers.26:
+#     - linear_attn.in_proj_qkv (group 81, 1 layers)
+#     - linear_attn.in_proj_z (group 125, 1 layers)
+#     - linear_attn.in_proj_b (group 257, 1 layers)
+#     - linear_attn.out_proj (group 285, 1 layers)
+#     - linear_attn.in_proj_a (group 330, 1 layers)
+#     - mlp.down_proj (group 360, 1 layers)
+#   model.layers.27.mlp.down_proj: group 76, 1 layers
+#   Fused in model.layers.28:
+#     - linear_attn.in_proj_b (group 136, 1 layers)
+#     - mlp.down_proj (group 137, 1 layers)
+#     - linear_attn.out_proj (group 173, 1 layers)
+#     - linear_attn.in_proj_a (group 199, 1 layers)
+#     - linear_attn.in_proj_z (group 284, 1 layers)
+#     - linear_attn.in_proj_qkv (group 337, 1 layers)
+#   Fused in model.layers.29:
+#     - linear_attn.out_proj (group 91, 1 layers)
+#     - linear_attn.in_proj_a (group 134, 1 layers)
+#     - linear_attn.in_proj_qkv (group 148, 1 layers)
+#     - linear_attn.in_proj_b (group 201, 1 layers)
+#     - mlp.down_proj (group 294, 1 layers)
+#     - linear_attn.in_proj_z (group 359, 1 layers)
+#   model.layers.3.mlp.down_proj: group 77, 1 layers
+#   Fused in model.layers.30:
+#     - linear_attn.in_proj_z (group 100, 1 layers)
+#     - mlp.down_proj (group 228, 1 layers)
+#     - linear_attn.in_proj_b (group 236, 1 layers)
+#     - linear_attn.out_proj (group 292, 1 layers)
+#     - linear_attn.in_proj_a (group 317, 1 layers)
+#     - linear_attn.in_proj_qkv (group 323, 1 layers)
+#   model.layers.31.mlp.down_proj: group 212, 1 layers
+#   Fused in model.layers.32:
+#     - linear_attn.in_proj_b (group 98, 1 layers)
+#     - linear_attn.in_proj_qkv (group 104, 1 layers)
+#     - linear_attn.out_proj (group 174, 1 layers)
+#     - linear_attn.in_proj_a (group 176, 1 layers)
+#     - linear_attn.in_proj_z (group 235, 1 layers)
+#     - mlp.down_proj (group 367, 1 layers)
+#   Fused in model.layers.33:
+#     - mlp.down_proj (group 82, 1 layers)
+#     - linear_attn.out_proj (group 83, 1 layers)
+#     - linear_attn.in_proj_a (group 95, 1 layers)
+#     - linear_attn.in_proj_b (group 177, 1 layers)
+#     - linear_attn.in_proj_qkv (group 277, 1 layers)
+#     - linear_attn.in_proj_z (group 315, 1 layers)
+#   Fused in model.layers.34:
+#     - linear_attn.in_proj_b (group 90, 1 layers)
+#     - linear_attn.in_proj_a (group 164, 1 layers)
+#     - linear_attn.out_proj (group 182, 1 layers)
+#     - mlp.down_proj (group 186, 1 layers)
+#     - linear_attn.in_proj_z (group 248, 1 layers)
+#     - linear_attn.in_proj_qkv (group 290, 1 layers)
+#   model.layers.35.mlp.down_proj: group 242, 1 layers
+#   Fused in model.layers.36:
+#     - linear_attn.in_proj_qkv (group 65, 1 layers)
+#     - linear_attn.in_proj_z (group 92, 1 layers)
+#     - mlp.down_proj (group 101, 1 layers)
+#     - linear_attn.in_proj_b (group 250, 1 layers)
+#     - linear_attn.in_proj_a (group 322, 1 layers)
+#     - linear_attn.out_proj (group 357, 1 layers)
+#   Fused in model.layers.37:
+#     - linear_attn.in_proj_z (group 165, 1 layers)
+#     - linear_attn.in_proj_a (group 251, 1 layers)
+#     - linear_attn.in_proj_qkv (group 260, 1 layers)
+#     - linear_attn.out_proj (group 275, 1 layers)
+#     - linear_attn.in_proj_b (group 321, 1 layers)
+#     - mlp.down_proj (group 344, 1 layers)
+#   Fused in model.layers.38:
+#     - linear_attn.in_proj_b (group 79, 1 layers)
+#     - linear_attn.out_proj (group 108, 1 layers)
+#     - linear_attn.in_proj_a (group 156, 1 layers)
+#     - linear_attn.in_proj_z (group 222, 1 layers)
+#     - mlp.down_proj (group 318, 1 layers)
+#     - linear_attn.in_proj_qkv (group 332, 1 layers)
+#   model.layers.39.mlp.down_proj: group 120, 1 layers
+#   Fused in model.layers.4:
+#     - linear_attn.in_proj_qkv (group 78, 1 layers)
+#     - linear_attn.in_proj_z (group 172, 1 layers)
+#     - mlp.down_proj (group 189, 1 layers)
+#     - linear_attn.in_proj_a (group 237, 1 layers)
+#     - linear_attn.out_proj (group 310, 1 layers)
+#     - linear_attn.in_proj_b (group 313, 1 layers)
+#   Fused in model.layers.40:
+#     - linear_attn.in_proj_b (group 132, 1 layers)
+#     - linear_attn.in_proj_a (group 203, 1 layers)
+#     - linear_attn.out_proj (group 231, 1 layers)
+#     - mlp.down_proj (group 246, 1 layers)
+#     - linear_attn.in_proj_z (group 279, 1 layers)
+#     - linear_attn.in_proj_qkv (group 366, 1 layers)
+#   Fused in model.layers.41:
+#     - linear_attn.in_proj_a (group 131, 1 layers)
+#     - linear_attn.in_proj_qkv (group 168, 1 layers)
+#     - mlp.down_proj (group 190, 1 layers)
+#     - linear_attn.in_proj_b (group 205, 1 layers)
+#     - linear_attn.out_proj (group 288, 1 layers)
+#     - linear_attn.in_proj_z (group 362, 1 layers)
+#   Fused in model.layers.42:
+#     - linear_attn.out_proj (group 89, 1 layers)
+#     - linear_attn.in_proj_z (group 133, 1 layers)
+#     - linear_attn.in_proj_qkv (group 139, 1 layers)
+#     - linear_attn.in_proj_b (group 282, 1 layers)
+#     - mlp.down_proj (group 340, 1 layers)
+#     - linear_attn.in_proj_a (group 365, 1 layers)
+#   model.layers.43.mlp.down_proj: group 96, 1 layers
+#   Fused in model.layers.44:
+#     - linear_attn.out_proj (group 124, 1 layers)
+#     - linear_attn.in_proj_z (group 144, 1 layers)
+#     - mlp.down_proj (group 214, 1 layers)
+#     - linear_attn.in_proj_b (group 274, 1 layers)
+#     - linear_attn.in_proj_qkv (group 328, 1 layers)
+#     - linear_attn.in_proj_a (group 355, 1 layers)
+#   Fused in model.layers.45:
+#     - linear_attn.in_proj_qkv (group 157, 1 layers)
+#     - linear_attn.out_proj (group 185, 1 layers)
+#     - linear_attn.in_proj_z (group 210, 1 layers)
+#     - mlp.down_proj (group 233, 1 layers)
+#     - linear_attn.in_proj_a (group 276, 1 layers)
+#     - linear_attn.in_proj_b (group 353, 1 layers)
+#   Fused in model.layers.46:
+#     - mlp.down_proj (group 80, 1 layers)
+#     - linear_attn.in_proj_qkv (group 117, 1 layers)
+#     - linear_attn.in_proj_b (group 143, 1 layers)
+#     - linear_attn.in_proj_a (group 207, 1 layers)
+#     - linear_attn.out_proj (group 271, 1 layers)
+#     - linear_attn.in_proj_z (group 273, 1 layers)
+#   model.layers.47.mlp.down_proj: group 364, 1 layers
+#   Fused in model.layers.48:
+#     - linear_attn.in_proj_z (group 115, 1 layers)
+#     - linear_attn.out_proj (group 170, 1 layers)
+#     - linear_attn.in_proj_b (group 268, 1 layers)
+#     - linear_attn.in_proj_qkv (group 286, 1 layers)
+#     - mlp.down_proj (group 287, 1 layers)
+#     - linear_attn.in_proj_a (group 339, 1 layers)
+#   Fused in model.layers.49:
+#     - linear_attn.out_proj (group 97, 1 layers)
+#     - mlp.down_proj (group 130, 1 layers)
+#     - linear_attn.in_proj_z (group 180, 1 layers)
+#     - linear_attn.in_proj_qkv (group 188, 1 layers)
+#     - linear_attn.in_proj_a (group 264, 1 layers)
+#     - linear_attn.in_proj_b (group 345, 1 layers)
+#   Fused in model.layers.5:
+#     - linear_attn.in_proj_z (group 102, 1 layers)
+#     - linear_attn.in_proj_b (group 240, 1 layers)
+#     - mlp.down_proj (group 244, 1 layers)
+#     - linear_attn.out_proj (group 247, 1 layers)
+#     - linear_attn.in_proj_qkv (group 259, 1 layers)
+#     - linear_attn.in_proj_a (group 309, 1 layers)
+#   Fused in model.layers.50:
+#     - linear_attn.in_proj_b (group 74, 1 layers)
+#     - linear_attn.in_proj_a (group 162, 1 layers)
+#     - mlp.down_proj (group 209, 1 layers)
+#     - linear_attn.in_proj_z (group 218, 1 layers)
+#     - linear_attn.out_proj (group 302, 1 layers)
+#     - linear_attn.in_proj_qkv (group 354, 1 layers)
+#   model.layers.51.mlp.down_proj: group 225, 1 layers
+#   Fused in model.layers.52:
+#     - linear_attn.in_proj_z (group 73, 1 layers)
+#     - mlp.down_proj (group 75, 1 layers)
+#     - linear_attn.in_proj_qkv (group 135, 1 layers)
+#     - linear_attn.out_proj (group 163, 1 layers)
+#     - linear_attn.in_proj_b (group 217, 1 layers)
+#     - linear_attn.in_proj_a (group 291, 1 layers)
+#   Fused in model.layers.53:
+#     - linear_attn.out_proj (group 105, 1 layers)
+#     - linear_attn.in_proj_z (group 160, 1 layers)
+#     - linear_attn.in_proj_a (group 216, 1 layers)
+#     - linear_attn.in_proj_qkv (group 253, 1 layers)
+#     - linear_attn.in_proj_b (group 293, 1 layers)
+#     - mlp.down_proj (group 358, 1 layers)
+#   Fused in model.layers.54:
+#     - linear_attn.in_proj_z (group 68, 1 layers)
+#     - linear_attn.out_proj (group 196, 1 layers)
+#     - linear_attn.in_proj_b (group 232, 1 layers)
+#     - mlp.down_proj (group 252, 1 layers)
+#     - linear_attn.in_proj_a (group 296, 1 layers)
+#     - linear_attn.in_proj_qkv (group 347, 1 layers)
+#   model.layers.55.mlp.down_proj: group 197, 1 layers
+#   Fused in model.layers.56:
+#     - linear_attn.in_proj_b (group 70, 1 layers)
+#     - linear_attn.in_proj_qkv (group 123, 1 layers)
+#     - linear_attn.in_proj_a (group 147, 1 layers)
+#     - linear_attn.in_proj_z (group 234, 1 layers)
+#     - mlp.down_proj (group 348, 1 layers)
+#     - linear_attn.out_proj (group 356, 1 layers)
+#   Fused in model.layers.57:
+#     - linear_attn.in_proj_a (group 72, 1 layers)
+#     - mlp.down_proj (group 103, 1 layers)
+#     - linear_attn.in_proj_b (group 146, 1 layers)
+#     - linear_attn.in_proj_qkv (group 215, 1 layers)
+#     - linear_attn.out_proj (group 278, 1 layers)
+#     - linear_attn.in_proj_z (group 300, 1 layers)
+#   Fused in model.layers.58:
+#     - linear_attn.out_proj (group 86, 1 layers)
+#     - linear_attn.in_proj_z (group 107, 1 layers)
+#     - mlp.down_proj (group 111, 1 layers)
+#     - linear_attn.in_proj_b (group 239, 1 layers)
+#     - linear_attn.in_proj_qkv (group 304, 1 layers)
+#     - linear_attn.in_proj_a (group 311, 1 layers)
+#   model.layers.59.mlp.down_proj: group 308, 1 layers
+#   Fused in model.layers.6:
+#     - mlp.down_proj (group 94, 1 layers)
+#     - linear_attn.in_proj_a (group 106, 1 layers)
+#     - linear_attn.out_proj (group 155, 1 layers)
+#     - linear_attn.in_proj_b (group 171, 1 layers)
+#     - linear_attn.in_proj_qkv (group 299, 1 layers)
+#     - linear_attn.in_proj_z (group 312, 1 layers)
+#   Fused in model.layers.60:
+#     - linear_attn.in_proj_a (group 66, 1 layers)
+#     - linear_attn.out_proj (group 67, 1 layers)
+#     - linear_attn.in_proj_b (group 151, 1 layers)
+#     - mlp.down_proj (group 297, 1 layers)
+#     - linear_attn.in_proj_z (group 307, 1 layers)
+#     - linear_attn.in_proj_qkv (group 334, 1 layers)
+#   Fused in model.layers.61:
+#     - linear_attn.in_proj_b (group 64, 1 layers)
+#     - mlp.down_proj (group 138, 1 layers)
+#     - linear_attn.in_proj_a (group 152, 1 layers)
+#     - linear_attn.out_proj (group 154, 1 layers)
+#     - linear_attn.in_proj_qkv (group 161, 1 layers)
+#     - linear_attn.in_proj_z (group 226, 1 layers)
+#   Fused in model.layers.62:
+#     - linear_attn.in_proj_qkv (group 113, 1 layers)
+#     - linear_attn.in_proj_z (group 150, 1 layers)
+#     - linear_attn.in_proj_a (group 223, 1 layers)
+#     - linear_attn.out_proj (group 254, 1 layers)
+#     - mlp.down_proj (group 283, 1 layers)
+#     - linear_attn.in_proj_b (group 305, 1 layers)
+#   model.layers.63.mlp.down_proj: group 158, 1 layers
+#   model.layers.7.mlp.down_proj: group 336, 1 layers
+#   Fused in model.layers.8:
+#     - linear_attn.in_proj_qkv (group 126, 1 layers)
+#     - linear_attn.in_proj_z (group 149, 1 layers)
+#     - linear_attn.in_proj_a (group 230, 1 layers)
+#     - linear_attn.out_proj (group 265, 1 layers)
+#     - linear_attn.in_proj_b (group 298, 1 layers)
+#     - mlp.down_proj (group 314, 1 layers)
+#   Fused in model.layers.9:
+#     - linear_attn.in_proj_z (group 71, 1 layers)
+#     - mlp.down_proj (group 114, 1 layers)
+#     - linear_attn.in_proj_qkv (group 221, 1 layers)
+#     - linear_attn.in_proj_b (group 227, 1 layers)
+#     - linear_attn.in_proj_a (group 301, 1 layers)
+#     - linear_attn.out_proj (group 329, 1 layers)
+#
+# Mode: binary_search_constraint (measured)
+# Constraint max_kl: 0.005
+# Constraint min_eap: 0.985
+# Weights: nll=0.0, kl=1.0, eap=0.0
+#
+# Average bitwidth: 5.1871
+# Total params: 22672834560
+# Total bits: 117606302351
+# Final KL: 0.001887
+# Final EAP: 0.985100
+# Final ETL: 0.014900
+# Satisfies constraints: True
+# Solver calls: 9
+# Evaluations: 9
+#
+# Bitwidth distribution:
+#   8-bit: 96 layers (22.2%)
+#   6-bit: 45 layers (10.4%)
+#   5-bit: 282 layers (65.3%)
+#   4-bit: 9 layers (2.1%)
+#
+model.layers.0.mlp.gate_proj: 5
+model.layers.0.mlp.up_proj: 5
+model.layers.1.mlp.gate_proj: 5
+model.layers.1.mlp.up_proj: 5
+model.layers.2.mlp.gate_proj: 5
+model.layers.2.mlp.up_proj: 5
+model.layers.3.mlp.gate_proj: 5
+model.layers.3.mlp.up_proj: 5
+model.layers.4.mlp.gate_proj: 5
+model.layers.4.mlp.up_proj: 5
+model.layers.5.mlp.gate_proj: 5
+model.layers.5.mlp.up_proj: 5
+model.layers.6.mlp.gate_proj: 5
+model.layers.6.mlp.up_proj: 5
+model.layers.7.mlp.gate_proj: 5
+model.layers.7.mlp.up_proj: 5
+model.layers.8.mlp.gate_proj: 5
+model.layers.8.mlp.up_proj: 5
+model.layers.9.mlp.gate_proj: 5
+model.layers.9.mlp.up_proj: 5
+model.layers.10.mlp.gate_proj: 5
+model.layers.10.mlp.up_proj: 5
+model.layers.11.mlp.gate_proj: 5
+model.layers.11.mlp.up_proj: 5
+model.layers.12.mlp.gate_proj: 5
+model.layers.12.mlp.up_proj: 5
+model.layers.13.mlp.gate_proj: 5
+model.layers.13.mlp.up_proj: 5
+model.layers.14.mlp.gate_proj: 5
+model.layers.14.mlp.up_proj: 5
+model.layers.15.mlp.gate_proj: 5
+model.layers.15.mlp.up_proj: 5
+model.layers.16.mlp.gate_proj: 5
+model.layers.16.mlp.up_proj: 5
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+  "model_specific_special_tokens": {
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+  "video_token": "<|video_pad|>",
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+}

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+}

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