Instructions to use techhermit/qwen35-slice14b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techhermit/qwen35-slice14b-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="techhermit/qwen35-slice14b-base") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("techhermit/qwen35-slice14b-base") model = AutoModelForCausalLM.from_pretrained("techhermit/qwen35-slice14b-base") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use techhermit/qwen35-slice14b-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "techhermit/qwen35-slice14b-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "techhermit/qwen35-slice14b-base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/techhermit/qwen35-slice14b-base
- SGLang
How to use techhermit/qwen35-slice14b-base with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "techhermit/qwen35-slice14b-base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "techhermit/qwen35-slice14b-base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "techhermit/qwen35-slice14b-base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "techhermit/qwen35-slice14b-base", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use techhermit/qwen35-slice14b-base with Docker Model Runner:
docker model run hf.co/techhermit/qwen35-slice14b-base
Upload distilled distill branch artifact
Browse files- .gitattributes +1 -0
- README.md +24 -0
- chat_template.jinja +88 -0
- config.json +185 -0
- generation_config.json +9 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +435 -0
- slice.log +412 -0
- student_layer_map.json +106 -0
- student_slice_manifest.json +8 -0
- student_slice_summary.json +41 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,24 @@
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---
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+
license: other
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library_name: transformers
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tags:
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- qwen
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- distilled
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- sliced-model
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| 8 |
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---
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| 9 |
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# techhermit/qwen35-slice14b-base
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This repository contains the sliced 14B base checkpoint used for the
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distillation branch.
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+
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## Provenance
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| 16 |
+
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- Base model: `Jackrong/Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled`
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| 18 |
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- Slice target: 32 transformer layers
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| 19 |
+
- Purpose: serve as the structural base for the adapter release repo
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| 20 |
+
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| 21 |
+
## Usage
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| 22 |
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Load this repo as a normal Transformers checkpoint. Then apply the adapter from
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the release repo if you want the distilled behavior-tuned variant.
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chat_template.jinja
ADDED
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@@ -0,0 +1,88 @@
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{%- if tools %}
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| 2 |
+
{{- '<|im_start|>system\n' }}
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| 3 |
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{%- if messages[0].role == 'system' %}
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| 4 |
+
{{- messages[0].content + '\n\n' }}
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| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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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| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
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| 14 |
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
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| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- 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>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
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| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant
|
| 86 |
+
<think>
|
| 87 |
+
' }}
|
| 88 |
+
{%- endif %}
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config.json
ADDED
|
@@ -0,0 +1,185 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"attn_output_gate": true,
|
| 8 |
+
"bos_token_id": null,
|
| 9 |
+
"dtype": "bfloat16",
|
| 10 |
+
"eos_token_id": 248046,
|
| 11 |
+
"full_attention_interval": 4,
|
| 12 |
+
"head_dim": 256,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"hidden_size": 5120,
|
| 15 |
+
"image_token_id": 248056,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 17408,
|
| 18 |
+
"layer_types": [
|
| 19 |
+
"linear_attention",
|
| 20 |
+
"linear_attention",
|
| 21 |
+
"linear_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"linear_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"linear_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"linear_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"full_attention"
|
| 51 |
+
],
|
| 52 |
+
"linear_conv_kernel_dim": 4,
|
| 53 |
+
"linear_key_head_dim": 128,
|
| 54 |
+
"linear_num_key_heads": 16,
|
| 55 |
+
"linear_num_value_heads": 48,
|
| 56 |
+
"linear_value_head_dim": 128,
|
| 57 |
+
"mamba_ssm_dtype": "float32",
|
| 58 |
+
"max_position_embeddings": 262144,
|
| 59 |
+
"mlp_only_layers": [],
|
| 60 |
+
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|
| 434 |
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}
|
| 435 |
+
}
|
slice.log
ADDED
|
@@ -0,0 +1,412 @@
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|
| 1 |
+
DEPRECATED: The legacy builder is deprecated and will be removed in a future release.
|
| 2 |
+
Install the buildx component to build images with BuildKit:
|
| 3 |
+
https://docs.docker.com/go/buildx/
|
| 4 |
+
|
| 5 |
+
Sending build context to Docker daemon 114.7kB
|
| 6 |
+
Step 1/9 : ARG PYTORCH_IMAGE=pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel
|
| 7 |
+
Step 2/9 : FROM ${PYTORCH_IMAGE}
|
| 8 |
+
2.6.0-cuda12.4-cudnn9-devel: Pulling from pytorch/pytorch
|
| 9 |
+
0a5030f9ea59: Pulling fs layer
|
| 10 |
+
b71b637b97c5: Pulling fs layer
|
| 11 |
+
7021d1b70935: Pulling fs layer
|
| 12 |
+
312a542960e3: Pulling fs layer
|
| 13 |
+
fd9cc1ad8dee: Pulling fs layer
|
| 14 |
+
47b8539d532f: Pulling fs layer
|
| 15 |
+
4f4fb700ef54: Pulling fs layer
|
| 16 |
+
56dc85502937: Pulling fs layer
|
| 17 |
+
8e79813a7b9d: Pulling fs layer
|
| 18 |
+
83525caeeb35: Pulling fs layer
|
| 19 |
+
0d6448aff889: Pulling fs layer
|
| 20 |
+
ec6d5f6c9ed9: Pulling fs layer
|
| 21 |
+
3e14b472177a: Pulling fs layer
|
| 22 |
+
e97dfafebbe6: Pulling fs layer
|
| 23 |
+
0a7674e3e8fe: Pulling fs layer
|
| 24 |
+
b71b637b97c5: Download complete
|
| 25 |
+
47b8539d532f: Download complete
|
| 26 |
+
312a542960e3: Download complete
|
| 27 |
+
83525caeeb35: Download complete
|
| 28 |
+
fd9cc1ad8dee: Download complete
|
| 29 |
+
4f4fb700ef54: Download complete
|
| 30 |
+
56dc85502937: Download complete
|
| 31 |
+
0a5030f9ea59: Download complete
|
| 32 |
+
3e14b472177a: Download complete
|
| 33 |
+
0d6448aff889: Download complete
|
| 34 |
+
7021d1b70935: Download complete
|
| 35 |
+
7021d1b70935: Pull complete
|
| 36 |
+
0d6448aff889: Pull complete
|
| 37 |
+
0a7674e3e8fe: Download complete
|
| 38 |
+
0a7674e3e8fe: Pull complete
|
| 39 |
+
b71b637b97c5: Pull complete
|
| 40 |
+
56dc85502937: Pull complete
|
| 41 |
+
ec6d5f6c9ed9: Download complete
|
| 42 |
+
ec6d5f6c9ed9: Pull complete
|
| 43 |
+
47b8539d532f: Pull complete
|
| 44 |
+
fd9cc1ad8dee: Pull complete
|
| 45 |
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Digest: sha256:0cf3402e946b7c384ba943ee05c90b4c5a4a05227923921f2b0918c011cfaf56
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Status: Downloaded newer image for pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel
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---> 0cf3402e946b
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Step 3/9 : ENV DEBIAN_FRONTEND=noninteractive
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---> Running in 763373b24589
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---> Removed intermediate container 763373b24589
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---> a0a6102cf64c
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Step 4/9 : ENV PIP_DISABLE_PIP_VERSION_CHECK=1
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---> Removed intermediate container 801afd576ce4
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---> 56ed7d48bc3a
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Step 5/9 : ENV PYTHONUNBUFFERED=1
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---> 7c45cea384bc
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Step 6/9 : RUN apt-get update && apt-get install -y --no-install-recommends git curl ca-certificates && rm -rf /var/lib/apt/lists/*
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---> Running in a18056f16af6
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Get:1 http://archive.ubuntu.com/ubuntu jammy InRelease [270 kB]
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Get:2 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]
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Get:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 InRelease [1581 B]
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Get:4 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64 Packages [2482 kB]
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Get:5 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]
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Get:6 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB]
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Get:7 http://security.ubuntu.com/ubuntu jammy-security/multiverse amd64 Packages [62.6 kB]
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Reading package lists...
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ca-certificates is already the newest version (20240203~22.04.1).
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The following additional packages will be installed:
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git-man libbrotli1 libcurl3-gnutls libcurl4 liberror-perl libexpat1
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libnghttp2-14 libpsl5 librtmp1 libssh-4
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Suggested packages:
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gettext-base git-daemon-run | git-daemon-sysvinit git-doc git-email git-gui
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gitk gitweb git-cvs git-mediawiki git-svn
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Recommended packages:
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less ssh-client publicsuffix
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The following NEW packages will be installed:
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curl git git-man libbrotli1 libcurl3-gnutls libcurl4 liberror-perl libexpat1
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libnghttp2-14 libpsl5 librtmp1 libssh-4
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Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libexpat1 amd64 2.4.7-1ubuntu0.7 [92.1 kB]
|
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Get:2 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libnghttp2-14 amd64 1.43.0-1ubuntu0.2 [76.9 kB]
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Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 libpsl5 amd64 0.21.0-1.2build2 [58.4 kB]
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Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 libbrotli1 amd64 1.0.9-2build6 [315 kB]
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Get:5 http://archive.ubuntu.com/ubuntu jammy/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2build4 [58.2 kB]
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Get:6 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libssh-4 amd64 0.9.6-2ubuntu0.22.04.7 [187 kB]
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Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libcurl4 amd64 7.81.0-1ubuntu1.23 [290 kB]
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Get:8 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 curl amd64 7.81.0-1ubuntu1.23 [194 kB]
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Get:9 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libcurl3-gnutls amd64 7.81.0-1ubuntu1.23 [284 kB]
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Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 liberror-perl all 0.17029-1 [26.5 kB]
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Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 git-man all 1:2.34.1-1ubuntu1.17 [954 kB]
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Get:12 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 git amd64 1:2.34.1-1ubuntu1.17 [3174 kB]
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[91mdebconf: delaying package configuration, since apt-utils is not installed
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Selecting previously unselected package libexpat1:amd64.
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(Reading database ...
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Preparing to unpack .../03-libbrotli1_1.0.9-2build6_amd64.deb ...
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Unpacking libbrotli1:amd64 (1.0.9-2build6) ...
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Preparing to unpack .../04-librtmp1_2.4+20151223.gitfa8646d.1-2build4_amd64.deb ...
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Preparing to unpack .../05-libssh-4_0.9.6-2ubuntu0.22.04.7_amd64.deb ...
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Unpacking git (1:2.34.1-1ubuntu1.17) ...
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Setting up libexpat1:amd64 (2.4.7-1ubuntu0.7) ...
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Setting up libpsl5:amd64 (0.21.0-1.2build2) ...
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Setting up libbrotli1:amd64 (1.0.9-2build6) ...
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Setting up libnghttp2-14:amd64 (1.43.0-1ubuntu0.2) ...
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Setting up liberror-perl (0.17029-1) ...
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Setting up librtmp1:amd64 (2.4+20151223.gitfa8646d.1-2build4) ...
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Setting up libssh-4:amd64 (0.9.6-2ubuntu0.22.04.7) ...
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Setting up libcurl4:amd64 (7.81.0-1ubuntu1.23) ...
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Setting up git-man (1:2.34.1-1ubuntu1.17) ...
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Setting up curl (7.81.0-1ubuntu1.23) ...
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Setting up libcurl3-gnutls:amd64 (7.81.0-1ubuntu1.23) ...
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Setting up git (1:2.34.1-1ubuntu1.17) ...
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Processing triggers for libc-bin (2.35-0ubuntu3.6) ...
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Step 7/9 : RUN python -m pip install --no-cache-dir accelerate datasets bitsandbytes peft safetensors sentencepiece transformers
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---> Running in 658e2eee1bdf
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Collecting accelerate
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Downloading accelerate-1.13.0-py3-none-any.whl.metadata (19 kB)
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Collecting datasets
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Collecting bitsandbytes
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Downloading bitsandbytes-0.49.2-py3-none-manylinux_2_24_x86_64.whl.metadata (10 kB)
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Collecting peft
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Downloading peft-0.18.1-py3-none-any.whl.metadata (14 kB)
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Collecting safetensors
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Downloading safetensors-0.7.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.1 kB)
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Collecting sentencepiece
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Downloading sentencepiece-0.2.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (10 kB)
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Collecting transformers
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Downloading transformers-5.5.0-py3-none-any.whl.metadata (32 kB)
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Requirement already satisfied: numpy>=1.17 in /opt/conda/lib/python3.11/site-packages (from accelerate) (2.2.2)
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Collecting huggingface_hub>=0.21.0 (from accelerate)
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Downloading huggingface_hub-1.9.0-py3-none-any.whl.metadata (14 kB)
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Collecting pyarrow>=21.0.0 (from datasets)
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Collecting dill<0.4.2,>=0.3.0 (from datasets)
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Downloading dill-0.4.1-py3-none-any.whl.metadata (10 kB)
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Collecting pandas (from datasets)
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Downloading pandas-3.0.2-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.metadata (79 kB)
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Collecting httpx<1.0.0 (from datasets)
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Downloading httpx-0.28.1-py3-none-any.whl.metadata (7.1 kB)
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Collecting xxhash (from datasets)
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Downloading xxhash-3.6.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (13 kB)
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Collecting multiprocess<0.70.20 (from datasets)
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Downloading multiprocess-0.70.19-py311-none-any.whl.metadata (7.5 kB)
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Collecting regex>=2025.10.22 (from transformers)
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Downloading regex-2026.4.4-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (40 kB)
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Collecting tokenizers<=0.23.0,>=0.22.0 (from transformers)
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Downloading tokenizers-0.22.2-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.3 kB)
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Collecting typer (from transformers)
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Downloading typer-0.24.1-py3-none-any.whl.metadata (16 kB)
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Collecting aiohttp!=4.0.0a0,!=4.0.0a1 (from fsspec[http]<=2026.2.0,>=2023.1.0->datasets)
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Downloading aiohttp-3.13.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (8.1 kB)
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Collecting anyio (from httpx<1.0.0->datasets)
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Downloading anyio-4.13.0-py3-none-any.whl.metadata (4.5 kB)
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Requirement already satisfied: certifi in /opt/conda/lib/python3.11/site-packages (from httpx<1.0.0->datasets) (2024.12.14)
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Collecting httpcore==1.* (from httpx<1.0.0->datasets)
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Downloading httpcore-1.0.9-py3-none-any.whl.metadata (21 kB)
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Requirement already satisfied: idna in /opt/conda/lib/python3.11/site-packages (from httpx<1.0.0->datasets) (3.10)
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Collecting h11>=0.16 (from httpcore==1.*->httpx<1.0.0->datasets)
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Downloading h11-0.16.0-py3-none-any.whl.metadata (8.3 kB)
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Collecting hf-xet<2.0.0,>=1.4.3 (from huggingface_hub>=0.21.0->accelerate)
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Downloading hf_xet-1.4.3-cp37-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.metadata (4.9 kB)
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Requirement already satisfied: charset_normalizer<4,>=2 in /opt/conda/lib/python3.11/site-packages (from requests>=2.32.2->datasets) (3.4.1)
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Requirement already satisfied: nvidia-cublas-cu12==12.4.5.8 in /opt/conda/lib/python3.11/site-packages (from torch>=2.0.0->accelerate) (12.4.5.8)
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Requirement already satisfied: nvidia-cufft-cu12==11.2.1.3 in /opt/conda/lib/python3.11/site-packages (from torch>=2.0.0->accelerate) (11.2.1.3)
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Requirement already satisfied: nvidia-curand-cu12==10.3.5.147 in /opt/conda/lib/python3.11/site-packages (from torch>=2.0.0->accelerate) (10.3.5.147)
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Requirement already satisfied: nvidia-cusparse-cu12==12.3.1.170 in /opt/conda/lib/python3.11/site-packages (from torch>=2.0.0->accelerate) (12.3.1.170)
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[91mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable.It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
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==========
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== CUDA ==
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==========
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CUDA Version 12.4.1
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Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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This container image and its contents are governed by the NVIDIA Deep Learning Container License.
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https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
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The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
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The tokenizer you are loading from '/workspace/.cache/huggingface/hub/models--Jackrong--Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled/snapshots/9094770e48788ba501437d8e9ecd84a17bf91ce1' with an incorrect regex pattern: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503/discussions/84#69121093e8b480e709447d5e. This will lead to incorrect tokenization. You should set the `fix_mistral_regex=True` flag when loading this tokenizer to fix this issue.
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{
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"source_model": "/workspace/.cache/huggingface/hub/models--Jackrong--Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled/snapshots/9094770e48788ba501437d8e9ecd84a17bf91ce1",
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"output_dir": "/workspace/distill_student_init10",
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"source_layers": 64,
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"target_layers": 32,
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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|
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
+
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|
| 29 |
+
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|
| 30 |
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|
| 31 |
+
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|
| 32 |
+
55,
|
| 33 |
+
57,
|
| 34 |
+
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|
| 35 |
+
61,
|
| 36 |
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63
|
| 37 |
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|
| 38 |
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|
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|
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|
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|
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|
| 48 |
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|
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|
| 50 |
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"22": 11,
|
| 51 |
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"24": 12,
|
| 52 |
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"26": 13,
|
| 53 |
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"28": 14,
|
| 54 |
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"30": 15,
|
| 55 |
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"33": 16,
|
| 56 |
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"35": 17,
|
| 57 |
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"37": 18,
|
| 58 |
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"39": 19,
|
| 59 |
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"41": 20,
|
| 60 |
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"43": 21,
|
| 61 |
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|
| 62 |
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"47": 23,
|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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"55": 27,
|
| 67 |
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|
| 68 |
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"59": 29,
|
| 69 |
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"61": 30,
|
| 70 |
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"63": 31
|
| 71 |
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},
|
| 72 |
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|
| 73 |
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|
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|
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|
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|
| 78 |
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|
| 79 |
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"6": 12,
|
| 80 |
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|
| 81 |
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|
| 82 |
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"9": 18,
|
| 83 |
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"10": 20,
|
| 84 |
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"11": 22,
|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
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| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
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|
| 98 |
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|
| 99 |
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| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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"30": 61,
|
| 104 |
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"31": 63
|
| 105 |
+
}
|
| 106 |
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student_slice_manifest.json
ADDED
|
@@ -0,0 +1,8 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"source_model": "/workspace/.cache/huggingface/hub/models--Jackrong--Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled/snapshots/9094770e48788ba501437d8e9ecd84a17bf91ce1",
|
| 3 |
+
"output_dir": "/workspace/distill_student_init10",
|
| 4 |
+
"num_layers": 32,
|
| 5 |
+
"strategy": "uniform",
|
| 6 |
+
"trust_remote_code": false,
|
| 7 |
+
"max_shard_size_gb": 5.0
|
| 8 |
+
}
|
student_slice_summary.json
ADDED
|
@@ -0,0 +1,41 @@
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|
|
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|
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|
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|
|
|
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|
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|
|
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|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"source_model": "/workspace/.cache/huggingface/hub/models--Jackrong--Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled/snapshots/9094770e48788ba501437d8e9ecd84a17bf91ce1",
|
| 3 |
+
"output_dir": "/workspace/distill_student_init10",
|
| 4 |
+
"source_layers": 64,
|
| 5 |
+
"target_layers": 32,
|
| 6 |
+
"selected_layers": [
|
| 7 |
+
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|
| 8 |
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2,
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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39,
|
| 27 |
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41,
|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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53,
|
| 34 |
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|
| 35 |
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57,
|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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"max_shard_size_gb": 5.0
|
| 41 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
+
size 19989343
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"model_max_length": 262144,
|
| 14 |
+
"model_specific_special_tokens": {
|
| 15 |
+
"audio_bos_token": "<|audio_start|>",
|
| 16 |
+
"audio_eos_token": "<|audio_end|>",
|
| 17 |
+
"audio_token": "<|audio_pad|>",
|
| 18 |
+
"image_token": "<|image_pad|>",
|
| 19 |
+
"video_token": "<|video_pad|>",
|
| 20 |
+
"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"padding_side": "right",
|
| 25 |
+
"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+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "TokenizersBackend",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|