Text Generation
Safetensors
MLX
mtplx
qwen3_5
apple-silicon
macos
speculative-decoding
multi-token-prediction
qwen
qwen3.8
mtp
local-ai
coding
qwen3-8
qwen-3.8
local-llm
llm
m5
m5-max
m4
m3
macbook-pro
mac-studio
opencode
claude-code
27b
qwen3.8-27b
qwen3-8-27b
conversational
8-bit precision
Instructions to use npario/Qwen3.8-27B-MTPLX-Optimized-Quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use npario/Qwen3.8-27B-MTPLX-Optimized-Quality with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("npario/Qwen3.8-27B-MTPLX-Optimized-Quality") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use npario/Qwen3.8-27B-MTPLX-Optimized-Quality with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "npario/Qwen3.8-27B-MTPLX-Optimized-Quality"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "npario/Qwen3.8-27B-MTPLX-Optimized-Quality" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use npario/Qwen3.8-27B-MTPLX-Optimized-Quality with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "npario/Qwen3.8-27B-MTPLX-Optimized-Quality"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "npario/Qwen3.8-27B-MTPLX-Optimized-Quality" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "npario/Qwen3.8-27B-MTPLX-Optimized-Quality", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use npario/Qwen3.8-27B-MTPLX-Optimized-Quality with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "npario/Qwen3.8-27B-MTPLX-Optimized-Quality"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default npario/Qwen3.8-27B-MTPLX-Optimized-Quality
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use npario/Qwen3.8-27B-MTPLX-Optimized-Quality with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "npario/Qwen3.8-27B-MTPLX-Optimized-Quality"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "npario/Qwen3.8-27B-MTPLX-Optimized-Quality" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Duplicate from Youssofal/Qwen3.8-27B-MTPLX-Optimized-Quality
Browse filesCo-authored-by: Youssof Altoukhi <Youssofal@users.noreply.huggingface.co>
- .gitattributes +36 -0
- README.md +123 -0
- chat_template.jinja +170 -0
- config.json +184 -0
- generation_config.json +12 -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-vision.safetensors +3 -0
- model.safetensors.index.json +0 -0
- mtp.safetensors +3 -0
- mtplx_runtime.json +179 -0
- preprocessor_config.json +21 -0
- processor_config.json +17 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
- video_preprocessor_config.json +21 -0
.gitattributes
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README.md
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| 1 |
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---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
library_name: mtplx
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
base_model: Qwen/Qwen3.8-27B
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| 6 |
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base_model_relation: quantized
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+
tags:
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- mlx
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| 9 |
+
- apple-silicon
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| 10 |
+
- macos
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| 11 |
+
- speculative-decoding
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| 12 |
+
- multi-token-prediction
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| 13 |
+
- qwen
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| 14 |
+
- qwen3.8
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| 15 |
+
- mtp
|
| 16 |
+
- mtplx
|
| 17 |
+
- local-ai
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| 18 |
+
- coding
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| 19 |
+
- qwen3-8
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| 20 |
+
- qwen-3.8
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| 21 |
+
- local-llm
|
| 22 |
+
- llm
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| 23 |
+
- m5
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| 24 |
+
- m5-max
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| 25 |
+
- m4
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| 26 |
+
- m3
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| 27 |
+
- macbook-pro
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| 28 |
+
- mac-studio
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| 29 |
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- opencode
|
| 30 |
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- claude-code
|
| 31 |
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- 27b
|
| 32 |
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- qwen3.8-27b
|
| 33 |
+
- qwen3-8-27b
|
| 34 |
+
---
|
| 35 |
+
|
| 36 |
+
**[MTPLX](https://mtplx.com): the fastest way to run Qwen 3.8 on a Mac. Native multi-token-prediction speculative decoding on Apple Silicon, two to three times the speed of plain decoding, exact at any temperature.**
|
| 37 |
+
|
| 38 |
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# Qwen 3.8 27B Optimized Quality
|
| 39 |
+
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| 40 |
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**8-bit dynamic quant. Good coding speeds and perfect quality.**
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| 41 |
+
|
| 42 |
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The closest of the three MTPLX Qwen 3.8 builds to the original bf16 model.
|
| 43 |
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Every weight matrix at 8-bit, sensitive parts at 16-bit, native
|
| 44 |
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multi-token-prediction head kept, so [MTPLX](https://mtplx.com) still drafts
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| 45 |
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ahead and verifies in one pass. Pick this when you want the answer the full
|
| 46 |
+
model would give and still want it fast.
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| 47 |
+
|
| 48 |
+
## Measured on MTPLX 2.11.3 (16 September 2026)
|
| 49 |
+
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| 50 |
+
This is a Qwen3.8-27B MLX pack for MTPLX, the fastest way to run Qwen 3.8 27B on a Mac. All numbers on a MacBook Pro M5 Max, fans verified at maximum, sampled at the model's own settings. Conditions and sources: [mtplx.com/benchmarks](https://mtplx.com/benchmarks/).
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| 51 |
+
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+
| Run | tok/s |
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| 53 |
+
|---|---|
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| 54 |
+
| Optimized Speed rewriting a file it just wrote, stock settings (MTPLX 2.10.0) | 87.6 |
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| 55 |
+
| Bare Speed on a fresh coding task at official Qwen 3.8 sampling (MTPLX 2.7.0) | 65.2 |
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| 56 |
+
| Optimized Speed on a 3k-token chat answer (MTPLX 2.10.0) | 64.3 |
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| 57 |
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| The 27B record on a fresh generation: Qwen 3.6 27B Optimized Speed, 192-token bench, 2 July 2026, raw logs published | 81.74 |
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| 58 |
+
|
| 59 |
+
Pack quality against the bf16 Qwen3.8-27B checkpoint, teacher-forced over 2,389 positions of code, prose, JSON and a multilingual notice (16 September 2026): Optimized Speed (4-bit dynamic) 96.0 percent top-1 agreement and KL 0.012; Optimized Quality (8-bit dynamic) 99.3 percent and KL 0.0005. Exactness on this release: a thousand four-token draws from the fast path match a thousand from the plain path within the plain path's own noise, at temperature 1, top-p 0.95, top-k 20. Details: [MTPLX 2.11.3 release notes](https://mtplx.com/releases/2.11.3/).
|
| 60 |
+
|
| 61 |
+
Runs on Apple Silicon Macs with 32 GB of unified memory or more (36 GB for Optimized Quality): MacBook Pro, MacBook Air, Mac mini and Mac Studio on M1 to M5. Guide: [Run Qwen 3.8 27B on a Mac](https://mtplx.com/models/qwen3.8-27b/). Comparison pages: [MTPLX vs mlx-serve](https://mtplx.com/compare/mtplx-vs-mlx-serve/), [MTPLX vs oMLX](https://mtplx.com/compare/mtplx-vs-omlx/), [MTPLX vs LM Studio](https://mtplx.com/compare/mtplx-vs-lm-studio/), [MTPLX vs Ollama](https://mtplx.com/compare/mtplx-vs-ollama/).
|
| 62 |
+
|
| 63 |
+
## Speeds
|
| 64 |
+
|
| 65 |
+
Measured on an M5 Max, fans verified at max, single stream, generation running
|
| 66 |
+
to the model's own stop, official Qwen 3.8 sampling (temperature 1.0, top-p
|
| 67 |
+
0.95, top-k 20).
|
| 68 |
+
|
| 69 |
+
| Run | tok/s |
|
| 70 |
+
|---|---|
|
| 71 |
+
| Coding task, medium reasoning, inside the MTPLX Mac app | 48.3 |
|
| 72 |
+
| Long reasoning at xhigh, 34k and 46k token answers | 33.2 and 33.1 |
|
| 73 |
+
|
| 74 |
+
Same night, same task, the 4-bit builds: Qwen 3.6 27B Optimized Speed V2 59.9
|
| 75 |
+
to 60.1 tok/s, Qwen 3.8 Optimized Speed 58.7, Bare Speed 65.2. This is the
|
| 76 |
+
quality pick, not the speed pick, and it is still well past 40 tok/s while
|
| 77 |
+
running the full-precision distribution.
|
| 78 |
+
|
| 79 |
+
Draft acceptance on the coding task by depth: 0.96, 0.88, 0.79. Verify cost
|
| 80 |
+
63.5 ms per round. Depth 3 was measured at +19.9% over depth 2 on the long
|
| 81 |
+
reasoning task.
|
| 82 |
+
|
| 83 |
+
## How it is built
|
| 84 |
+
|
| 85 |
+
- Every weight matrix at 8-bit with 64-weight groups.
|
| 86 |
+
- The GDN convolution kernels and recurrent state parameters, every norm, and
|
| 87 |
+
the whole MTP head stay 16-bit.
|
| 88 |
+
- KL divergence to the original bf16 model on our coding battery: 0.00105.
|
| 89 |
+
That is 21x closer than Optimized Speed and 36x closer than Bare Speed. In
|
| 90 |
+
practice you will not tell the outputs apart from the bf16 model.
|
| 91 |
+
|
| 92 |
+
| | |
|
| 93 |
+
|---|---|
|
| 94 |
+
| Download | 29.4 GB |
|
| 95 |
+
| Peak unified memory (measured, this artifact) | 32.7 GB |
|
| 96 |
+
| Context window | 262,144 tokens |
|
| 97 |
+
| MTP depth | 3 |
|
| 98 |
+
| Sampling | temperature 1.0, top-p 0.95, top-k 20 (the official Qwen 3.8 contract) |
|
| 99 |
+
|
| 100 |
+
The tuned depth and draft settings ship inside `mtplx_runtime.json`. MTPLX
|
| 101 |
+
reads them on load. Speculation is exact: drafts are accepted with the
|
| 102 |
+
probability-ratio rule plus residual resampling, so the output follows the
|
| 103 |
+
model's own distribution at any temperature. Reasoning effort levels (xhigh,
|
| 104 |
+
medium, low) work, and preserved thinking flows through the MTP path.
|
| 105 |
+
|
| 106 |
+
## Use it
|
| 107 |
+
|
| 108 |
+
You want 36 GB of unified memory or more for this one. Mac app: download at
|
| 109 |
+
[mtplx.com](https://mtplx.com), pick "Qwen 3.8 27B Optimized Quality".
|
| 110 |
+
|
| 111 |
+
Command line:
|
| 112 |
+
|
| 113 |
+
```bash
|
| 114 |
+
pip install mtplx
|
| 115 |
+
mtplx serve --model Youssofal/Qwen3.8-27B-MTPLX-Optimized-Quality
|
| 116 |
+
```
|
| 117 |
+
|
| 118 |
+
Siblings: [Optimized Speed](https://huggingface.co/Youssofal/Qwen3.8-27B-MTPLX-Optimized-Speed)
|
| 119 |
+
(recommended for coding) and
|
| 120 |
+
[Bare Speed](https://huggingface.co/Youssofal/Qwen3.8-27B-MTPLX-Bare-Speed)
|
| 121 |
+
(quickest burst chat speeds). On an M1 or M2 Mac use the
|
| 122 |
+
[FP16 build](https://huggingface.co/Youssofal/Qwen3.8-27B-MTPLX-Optimized-Quality-FP16)
|
| 123 |
+
of this model.
|
chat_template.jinja
ADDED
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- set reasoning_instructions = '' %}
|
| 46 |
+
{%- if enable_thinking is undefined or enable_thinking is true %}
|
| 47 |
+
{%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
|
| 48 |
+
{%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
|
| 49 |
+
{{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if resolved_reasoning_effort == 'xhigh' %}
|
| 52 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
|
| 53 |
+
{%- elif resolved_reasoning_effort == 'low' %}
|
| 54 |
+
{%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 58 |
+
{{- '<|im_start|>system\n' }}
|
| 59 |
+
{%- if reasoning_instructions %}
|
| 60 |
+
{{- reasoning_instructions + '\n\n' }}
|
| 61 |
+
{%- endif %}
|
| 62 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 63 |
+
{%- for tool in tools %}
|
| 64 |
+
{{- "\n" }}
|
| 65 |
+
{{- tool | tojson }}
|
| 66 |
+
{%- endfor %}
|
| 67 |
+
{{- "\n</tools>" }}
|
| 68 |
+
{{- '\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>' }}
|
| 69 |
+
{%- if messages[0].role == 'system' %}
|
| 70 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 71 |
+
{%- if content %}
|
| 72 |
+
{{- '\n\n' + content }}
|
| 73 |
+
{%- endif %}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{{- '<|im_end|>\n' }}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- if messages[0].role == 'system' %}
|
| 78 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 79 |
+
{%- if content %}
|
| 80 |
+
{{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '') + content + '<|im_end|>\n' }}
|
| 81 |
+
{%- elif reasoning_instructions %}
|
| 82 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 83 |
+
{%- endif %}
|
| 84 |
+
{%- elif reasoning_instructions %}
|
| 85 |
+
{{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endif %}
|
| 88 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 89 |
+
{%- for message in messages[::-1] %}
|
| 90 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 91 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 92 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 93 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 94 |
+
{%- set ns.multi_step_tool = false %}
|
| 95 |
+
{%- set ns.last_query_index = index %}
|
| 96 |
+
{%- endif %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endfor %}
|
| 99 |
+
{%- if ns.multi_step_tool %}
|
| 100 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 101 |
+
{%- endif %}
|
| 102 |
+
{%- for message in messages %}
|
| 103 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 104 |
+
{%- if message.role == "system" %}
|
| 105 |
+
{%- if not loop.first %}
|
| 106 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 107 |
+
{%- endif %}
|
| 108 |
+
{%- elif message.role == "user" %}
|
| 109 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 110 |
+
{%- elif message.role == "assistant" %}
|
| 111 |
+
{%- set reasoning_content = '' %}
|
| 112 |
+
{%- if message.reasoning_content is string %}
|
| 113 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 116 |
+
{%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
|
| 117 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 118 |
+
{%- else %}
|
| 119 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 120 |
+
{%- endif %}
|
| 121 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 122 |
+
{%- for tool_call in message.tool_calls %}
|
| 123 |
+
{%- if tool_call.function is defined %}
|
| 124 |
+
{%- set tool_call = tool_call.function %}
|
| 125 |
+
{%- endif %}
|
| 126 |
+
{%- if loop.first %}
|
| 127 |
+
{%- if content|trim %}
|
| 128 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 129 |
+
{%- else %}
|
| 130 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 131 |
+
{%- endif %}
|
| 132 |
+
{%- else %}
|
| 133 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{%- if tool_call.arguments is defined and tool_call.arguments != '' %}
|
| 136 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 137 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 138 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 139 |
+
{{- args_value }}
|
| 140 |
+
{{- '\n</parameter>\n' }}
|
| 141 |
+
{%- endfor %}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{{- '</function>\n</tool_call>' }}
|
| 144 |
+
{%- endfor %}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{{- '<|im_end|>\n' }}
|
| 147 |
+
{%- elif message.role == "tool" %}
|
| 148 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 149 |
+
{{- '<|im_start|>user' }}
|
| 150 |
+
{%- endif %}
|
| 151 |
+
{{- '\n<tool_response>\n' }}
|
| 152 |
+
{{- content }}
|
| 153 |
+
{{- '\n</tool_response>' }}
|
| 154 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 155 |
+
{{- '<|im_end|>\n' }}
|
| 156 |
+
{%- elif loop.last %}
|
| 157 |
+
{{- '<|im_end|>\n' }}
|
| 158 |
+
{%- endif %}
|
| 159 |
+
{%- else %}
|
| 160 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 161 |
+
{%- endif %}
|
| 162 |
+
{%- endfor %}
|
| 163 |
+
{%- if add_generation_prompt %}
|
| 164 |
+
{{- '<|im_start|>assistant\n' }}
|
| 165 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 166 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 167 |
+
{%- else %}
|
| 168 |
+
{{- '<think>\n' }}
|
| 169 |
+
{%- endif %}
|
| 170 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,184 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"eos_token_id": [
|
| 6 |
+
248046,
|
| 7 |
+
248044
|
| 8 |
+
],
|
| 9 |
+
"image_token_id": 248056,
|
| 10 |
+
"language_model_only": false,
|
| 11 |
+
"mlx_lm_extra_tensors": {
|
| 12 |
+
"mtp_file": "mtp.safetensors"
|
| 13 |
+
},
|
| 14 |
+
"model_type": "qwen3_5",
|
| 15 |
+
"mtplx_mtp_contract": {
|
| 16 |
+
"base_hidden_variant": "post_norm",
|
| 17 |
+
"concat_order": "embedding_hidden",
|
| 18 |
+
"hidden_variant": "post_norm",
|
| 19 |
+
"mtp_position_mode": "local",
|
| 20 |
+
"mtp_quant_group_size": 64,
|
| 21 |
+
"mtp_quant_mode": "affine"
|
| 22 |
+
},
|
| 23 |
+
"mtplx_mtp_payload_audit": {
|
| 24 |
+
"mtp_file": "/Users/youssof/.mtplx/models/Qwen3.8-27B-MTPLX-Optimized-Quality/mtp.safetensors",
|
| 25 |
+
"nonzero_payload_tensor_count": 8,
|
| 26 |
+
"passed": true,
|
| 27 |
+
"payload_tensor_count": 8,
|
| 28 |
+
"problems": [],
|
| 29 |
+
"scale_tensor_count": 0,
|
| 30 |
+
"tensor_count": 15,
|
| 31 |
+
"zero_payload_sample": [],
|
| 32 |
+
"zero_scale_sample": []
|
| 33 |
+
},
|
| 34 |
+
"quantization": {
|
| 35 |
+
"bits": 8,
|
| 36 |
+
"group_size": 64,
|
| 37 |
+
"mode": "affine"
|
| 38 |
+
},
|
| 39 |
+
"quantization_config": {
|
| 40 |
+
"bits": 8,
|
| 41 |
+
"group_size": 64,
|
| 42 |
+
"mode": "affine"
|
| 43 |
+
},
|
| 44 |
+
"text_config": {
|
| 45 |
+
"attention_bias": false,
|
| 46 |
+
"attention_dropout": 0.0,
|
| 47 |
+
"attn_output_gate": true,
|
| 48 |
+
"bos_token_id": 248044,
|
| 49 |
+
"dtype": "bfloat16",
|
| 50 |
+
"eos_token_id": 248044,
|
| 51 |
+
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|
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"type": "default"
|
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},
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|
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|
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|
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|
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"vision_config": {
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|
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|
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|
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|
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"mode": "affine",
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"policy": "all",
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"description": "All 8 MTP draft-head matrices (fc + attention q/k/v/o + MLP gate/up/down) packed MLX INT8/g64 affine from the released sidecar; head norms keep the pack's float dtype. Verified flat-or-better acceptance vs the unquantized head before publishing."
|
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}
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| 184 |
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}
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mtplx_runtime.json
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|
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|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"arch_id": "qwen3-next-mtp",
|
| 3 |
+
"artifact_role": "forge-local",
|
| 4 |
+
"base_trunk": "Qwen/Qwen3.8-27B",
|
| 5 |
+
"exactness_baseline": {},
|
| 6 |
+
"forge_provenance": {
|
| 7 |
+
"depth_default_note": "Depth pin REMOVED 2026-08-14 after the gated live ABBA: D2 39.5 vs D3 40.6 tok/s matched-window (tie; D3 fewer verify rounds 697 vs 883). The earlier forge-verify \"D3 18.8 collapse\" was order/JIT-confounded (mistakes/single-forge-verify-tune-rows...). Family ceiling D3 applies.",
|
| 8 |
+
"forge_inputs": {
|
| 9 |
+
"mtp_source_path": "<redacted>/Qwen--Qwen3.8-27B",
|
| 10 |
+
"trunk_path": "<redacted>/Qwen3.8-27B-MTPLX-Optimized-Quality"
|
| 11 |
+
},
|
| 12 |
+
"forge_recipe": {
|
| 13 |
+
"body_bits": 8,
|
| 14 |
+
"body_group_size": 64,
|
| 15 |
+
"body_mode": "affine",
|
| 16 |
+
"mtp_policy": "keep_bf16"
|
| 17 |
+
},
|
| 18 |
+
"forged_at": "2026-08-14T11:23:31-07:00",
|
| 19 |
+
"forged_locally": true,
|
| 20 |
+
"head_quantization": {
|
| 21 |
+
"bits": 8,
|
| 22 |
+
"group_size": 64,
|
| 23 |
+
"mode": "affine",
|
| 24 |
+
"note": "Structural head quantization of the released sidecar; no calibration, no training. Trunk weights unchanged.",
|
| 25 |
+
"policy": "all",
|
| 26 |
+
"quantized_at": "2026-08-20T04:49:56Z",
|
| 27 |
+
"quantized_sidecar_bytes": 451270903,
|
| 28 |
+
"source_sidecar_bytes": 849400403,
|
| 29 |
+
"tool": "scripts/build_qwen38_q4head_sidecar.py"
|
| 30 |
+
},
|
| 31 |
+
"mtp_contract": {
|
| 32 |
+
"base_hidden_variant": "post_norm",
|
| 33 |
+
"concat_order": "embedding_hidden",
|
| 34 |
+
"hidden_variant": "post_norm",
|
| 35 |
+
"mtp_position_mode": "local",
|
| 36 |
+
"mtp_quant_group_size": 64,
|
| 37 |
+
"mtp_quant_mode": "affine"
|
| 38 |
+
},
|
| 39 |
+
"mtplx_version": "2.6.0",
|
| 40 |
+
"published_to_hf": null,
|
| 41 |
+
"recommended_profile_note": "Restamped sustained->turbo 2026-08-14: the sustained recommendation came from the same confounded verify rows; every gated arm served turbo, medium Flappy 59.8 tok/s blended quiet-window.",
|
| 42 |
+
"source_format": "bf16_native",
|
| 43 |
+
"source_repo": "Qwen/Qwen3.8-27B",
|
| 44 |
+
"source_sha": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0"
|
| 45 |
+
},
|
| 46 |
+
"mtp_contract": {
|
| 47 |
+
"base_hidden_variant": "post_norm",
|
| 48 |
+
"concat_order": "embedding_hidden",
|
| 49 |
+
"hidden_variant": "post_norm",
|
| 50 |
+
"mtp_position_mode": "local",
|
| 51 |
+
"mtp_quant_group_size": 64,
|
| 52 |
+
"mtp_quant_mode": "affine"
|
| 53 |
+
},
|
| 54 |
+
"mtp_depth_default": 3,
|
| 55 |
+
"mtp_depth_max": 3,
|
| 56 |
+
"mtp_sidecar": "int8-g64-prequantized",
|
| 57 |
+
"mtplx_version": "2.9.0",
|
| 58 |
+
"recommended_draft_sampler": {
|
| 59 |
+
"temperature": 1.0,
|
| 60 |
+
"top_k": 20,
|
| 61 |
+
"top_p": 0.95
|
| 62 |
+
},
|
| 63 |
+
"recommended_profile": "turbo",
|
| 64 |
+
"release_validation": {
|
| 65 |
+
"draft_sampler_transfer_note": {
|
| 66 |
+
"basis": "dropday uncapped ABBA campaign (clean-receipts.jsonl, temp 1.0 xhigh/medium, die-gated, max fans verified)",
|
| 67 |
+
"note": "draft 1.0 adopted by transfer: OS uncapped ABBA (+13%) + Bare scaffold strict A/B (keep_official_draft_sampler_1_0); same MTP head architecture and temp-1.0 target contract. OQ depth arms measured at draft 0.6; app-receipt validates live at ship config.",
|
| 68 |
+
"stamped_at": "2026-08-14T21:45:00-07:00"
|
| 69 |
+
},
|
| 70 |
+
"dropday_depth_abba": {
|
| 71 |
+
"basis": "dropday uncapped ABBA campaign (clean-receipts.jsonl, temp 1.0 xhigh/medium, die-gated, max fans verified)",
|
| 72 |
+
"decode_tps_blended_d2": [
|
| 73 |
+
27.3,
|
| 74 |
+
28.0
|
| 75 |
+
],
|
| 76 |
+
"decode_tps_blended_d3": [
|
| 77 |
+
33.2,
|
| 78 |
+
33.1
|
| 79 |
+
],
|
| 80 |
+
"stamped_at": "2026-08-14T21:45:00-07:00",
|
| 81 |
+
"verdict": "depth_3 (+19.9% blended)",
|
| 82 |
+
"workload": "simple flappy xhigh uncapped (33k-46k tokens, EOS stop)"
|
| 83 |
+
}
|
| 84 |
+
},
|
| 85 |
+
"sampler": {
|
| 86 |
+
"temperature": 0.6,
|
| 87 |
+
"top_k": 20,
|
| 88 |
+
"top_p": 0.95
|
| 89 |
+
},
|
| 90 |
+
"speed_evidence": {
|
| 91 |
+
"acceptance_by_depth": [
|
| 92 |
+
0.9433962264150944,
|
| 93 |
+
0.8814016172506739,
|
| 94 |
+
0.8059299191374663
|
| 95 |
+
],
|
| 96 |
+
"acceptance_collapsed": [],
|
| 97 |
+
"artifact_fingerprint": "sha256:5a7a0d400ebff91dc544f7d93454d6d48d2833b4f0f7ad832d00e1d9513fd750",
|
| 98 |
+
"depth": 3,
|
| 99 |
+
"failure_reasons": [],
|
| 100 |
+
"forge_verify_rows": [
|
| 101 |
+
{
|
| 102 |
+
"acceptance_by_position": [],
|
| 103 |
+
"depth": 0,
|
| 104 |
+
"finish_reasons": {
|
| 105 |
+
"stop": 1
|
| 106 |
+
},
|
| 107 |
+
"hit_token_budget": false,
|
| 108 |
+
"hit_token_budget_count": 0,
|
| 109 |
+
"multiplier_vs_ar": 1.0,
|
| 110 |
+
"quality_passed": true,
|
| 111 |
+
"tok_s": 13.054796369549772,
|
| 112 |
+
"verify_time_s": 154.4356367919827
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"acceptance_by_position": [
|
| 116 |
+
0.9570405727923628
|
| 117 |
+
],
|
| 118 |
+
"depth": 1,
|
| 119 |
+
"finish_reasons": {
|
| 120 |
+
"stop": 1
|
| 121 |
+
},
|
| 122 |
+
"hit_token_budget": false,
|
| 123 |
+
"hit_token_budget_count": 0,
|
| 124 |
+
"multiplier_vs_ar": 2.0262953935160954,
|
| 125 |
+
"quality_passed": true,
|
| 126 |
+
"tok_s": 26.45287374690935,
|
| 127 |
+
"verify_time_s": 35.17482435004786
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"acceptance_by_position": [
|
| 131 |
+
0.9776119402985075,
|
| 132 |
+
0.9129353233830846
|
| 133 |
+
],
|
| 134 |
+
"depth": 2,
|
| 135 |
+
"finish_reasons": {
|
| 136 |
+
"stop": 1
|
| 137 |
+
},
|
| 138 |
+
"hit_token_budget": false,
|
| 139 |
+
"hit_token_budget_count": 0,
|
| 140 |
+
"multiplier_vs_ar": 2.560816141204823,
|
| 141 |
+
"quality_passed": true,
|
| 142 |
+
"tok_s": 33.430933263285176,
|
| 143 |
+
"verify_time_s": 36.15608408872504
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"acceptance_by_position": [
|
| 147 |
+
0.9433962264150944,
|
| 148 |
+
0.8814016172506739,
|
| 149 |
+
0.8059299191374663
|
| 150 |
+
],
|
| 151 |
+
"depth": 3,
|
| 152 |
+
"finish_reasons": {
|
| 153 |
+
"stop": 1
|
| 154 |
+
},
|
| 155 |
+
"hit_token_budget": false,
|
| 156 |
+
"hit_token_budget_count": 0,
|
| 157 |
+
"multiplier_vs_ar": 3.002168329361034,
|
| 158 |
+
"quality_passed": true,
|
| 159 |
+
"tok_s": 39.192696206919734,
|
| 160 |
+
"verify_time_s": 31.090109037584625
|
| 161 |
+
}
|
| 162 |
+
],
|
| 163 |
+
"greedy_diagnostic": {
|
| 164 |
+
"tok_s": 13.054796369549772
|
| 165 |
+
},
|
| 166 |
+
"quality_rejected": [],
|
| 167 |
+
"tok_s": [
|
| 168 |
+
39.192696206919734
|
| 169 |
+
],
|
| 170 |
+
"verdict": "mtp_depth_wins"
|
| 171 |
+
},
|
| 172 |
+
"verified_on": {
|
| 173 |
+
"hardware": "macOS-26.3.1-arm64-arm-64bit-Mach-O",
|
| 174 |
+
"machine_arch": "arm64",
|
| 175 |
+
"macos": "26.3.1",
|
| 176 |
+
"model": "Qwen3.8-27B-MTPLX-Optimized-Quality",
|
| 177 |
+
"timestamp": "2026-08-19T23:08:02-07:00"
|
| 178 |
+
}
|
| 179 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
processor_config.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 4 |
+
"size": {
|
| 5 |
+
"longest_edge": 16777216,
|
| 6 |
+
"shortest_edge": 65536
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"processor_class": "Qwen3VLProcessor",
|
| 10 |
+
"video_processor": {
|
| 11 |
+
"size": {
|
| 12 |
+
"longest_edge": 25165824,
|
| 13 |
+
"shortest_edge": 4096
|
| 14 |
+
},
|
| 15 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 16 |
+
}
|
| 17 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"local_files_only": false,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 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 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"tool_parser_type": "qwen3_coder",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 25165824,
|
| 4 |
+
"shortest_edge": 4096
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 21 |
+
}
|