Ornith-1.0-35B MXFP4 + grafted MoE MTP head (vision), for AMD RDNA4 / vLLM
Browse files- .gitattributes +4 -0
- README.md +129 -0
- chat_template.jinja +150 -0
- config.json +1501 -0
- generation_config.json +13 -0
- model-00001-of-00016.safetensors +3 -0
- model-00002-of-00016.safetensors +3 -0
- model-00003-of-00016.safetensors +3 -0
- model-00004-of-00016.safetensors +3 -0
- model-00005-of-00016.safetensors +3 -0
- model-00006-of-00016.safetensors +3 -0
- model-00007-of-00016.safetensors +3 -0
- model-00008-of-00016.safetensors +3 -0
- model-00009-of-00016.safetensors +3 -0
- model-00010-of-00016.safetensors +3 -0
- model-00011-of-00016.safetensors +3 -0
- model-00012-of-00016.safetensors +3 -0
- model-00013-of-00016.safetensors +3 -0
- model-00014-of-00016.safetensors +3 -0
- model-00015-of-00016.safetensors +3 -0
- model-00016-of-00016.safetensors +3 -0
- model-mtp.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +21 -0
- processor_config.json +60 -0
- recipe_graft_mxfp4.py +130 -0
- tokenizer.json +3 -0
- tokenizer_config.json +33 -0
- video_preprocessor_config.json +21 -0
- vocab.json +0 -0
.gitattributes
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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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*.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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assets/ornith_35b_eval.png filter=lfs diff=lfs merge=lfs -text
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assets/ornith_397b_eval.png filter=lfs diff=lfs merge=lfs -text
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assets/ornith_logo.png 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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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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| 3 |
+
base_model:
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| 4 |
+
- deepreinforce-ai/Ornith-1.0-35B
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| 5 |
+
- Capicua25x/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill-MXFP4-Vision
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| 6 |
+
base_model_relation: merge
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| 7 |
+
pipeline_tag: image-text-to-text
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| 8 |
+
library_name: vllm
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| 9 |
+
language:
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| 10 |
+
- en
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| 11 |
+
tags:
|
| 12 |
+
- mxfp4
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| 13 |
+
- compressed-tensors
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| 14 |
+
- speculative-decoding
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| 15 |
+
- mtp
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| 16 |
+
- multi-token-prediction
|
| 17 |
+
- moe
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| 18 |
+
- qwen3.5
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| 19 |
+
- vllm
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| 20 |
+
- rocm
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| 21 |
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- rdna4
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| 22 |
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- amd
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| 23 |
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- vision
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| 24 |
+
---
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| 25 |
+
|
| 26 |
+
# Ornith-1.0-35B-A3B — MXFP4 + MTP (vision), for AMD RDNA4 / vLLM
|
| 27 |
+
|
| 28 |
+
[`deepreinforce-ai/Ornith-1.0-35B`](https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B) — a
|
| 29 |
+
**Qwen MoE model (A3B, ~3 B active parameters per token)** — quantized to **MXFP4** with a **grafted MTP
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| 30 |
+
(Multi-Token-Prediction) draft head**, packaged to run **out of the box on AMD Radeon RDNA4 (gfx1201)
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| 31 |
+
under vLLM** with lossless self-speculative decoding. Vision retained.
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| 32 |
+
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| 33 |
+
- **Trunk** — Ornith-1.0-35B quantized to **MXFP4** (`compressed-tensors`, group size 32, symmetric).
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| 34 |
+
`lm_head`, `embed_tokens`, norms, and the vision tower are kept **BF16**. The MXFP4 trunk is
|
| 35 |
+
byte-verified against DeepReinforce's published weights (16/16 shards SHA256-identical before quant).
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| 36 |
+
- **Draft head — a cross-model graft.** The MoE MTP head (785 BF16 tensors, with per-expert weights) is
|
| 37 |
+
transplanted from a **sibling Qwen-MoE checkpoint**,
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| 38 |
+
[`Capicua25x/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill-MXFP4-Vision`](https://huggingface.co/Capicua25x/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill-MXFP4-Vision)
|
| 39 |
+
(a DeepSeek-V4-Pro-Thinking distill of Qwen3.6-35B-A3B). Because the trunk and the donor share the
|
| 40 |
+
**same Qwen MoE architecture** — identical hidden size and expert layout — the head transfers cleanly
|
| 41 |
+
and drafts well on the Ornith trunk (acceptance below).
|
| 42 |
+
- **Speculative decoding** — vLLM native `mtp` method, `num_speculative_tokens=3`. **Lossless**: the
|
| 43 |
+
target model verifies every drafted token, so the output distribution is identical to the trunk with
|
| 44 |
+
no draft head. A mismatched head could only *slow* drafting, never change an output — which is what
|
| 45 |
+
makes a cross-model graft safe to ship. This one drafts at **~69% acceptance**, a clear net speed-up.
|
| 46 |
+
|
| 47 |
+
## Measured on AMD RDNA4
|
| 48 |
+
|
| 49 |
+
2× Radeon AI PRO R9700 (gfx1201), tensor-parallel 2, vLLM `0.19.1` (image below).
|
| 50 |
+
|
| 51 |
+
- **MTP draft acceptance (n=3): ≈69.5% average — measured on live production traffic**, not a synthetic
|
| 52 |
+
probe. Per-position **0.84 / 0.67 / 0.57**; mean acceptance length **~3.08**. Lossless throughout.
|
| 53 |
+
- **Vision**, **tool-calling** (`qwen3_xml`), and **reasoning split** (`qwen3`) all confirmed working.
|
| 54 |
+
- **Throughput** (TP2, 256 output tokens, per-user / aggregate tok/s):
|
| 55 |
+
|
| 56 |
+
| concurrent | short prompt | ~6k prompt |
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| 57 |
+
|---:|---|---|
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| 58 |
+
| 1 | 130.9 / 131 | 100.9 / 101 |
|
| 59 |
+
| 16 | 58.9 / 889 | 34.2 / 523 |
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| 60 |
+
| 32 | 40.2 / 1219 | 20.3 / 617 |
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| 61 |
+
| 64 | 29.9 / 1822 | 12.3 / 723 |
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| 62 |
+
| 96 | 23.4 / 1584 | 9.2 / 717 |
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| 63 |
+
| 128 | 21.4 / 1779 | 8.2 / 761 |
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| 64 |
+
|
| 65 |
+
Usable concurrency ceiling (per-user ≥ 20 tok/s): **~128** at short context, **~32** at 6k context.
|
| 66 |
+
Single-stream decode is **130.9 tok/s** short / **100.9 tok/s** at 6k — the A3B sparsity (~3 B active)
|
| 67 |
+
makes it *faster* single-stream than a dense 9B at short context, and comparable at long context, while
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| 68 |
+
carrying far more total knowledge.
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+
|
| 70 |
+
## Run it on AMD RDNA4
|
| 71 |
+
|
| 72 |
+
Uses the prebuilt RDNA4 vLLM image
|
| 73 |
+
[`capicua25x/vllm-rocm-rdna4`](https://hub.docker.com/r/capicua25x/vllm-rocm-rdna4) (tag `0.19.1`):
|
| 74 |
+
|
| 75 |
+
```bash
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| 76 |
+
docker run --rm --network=host \
|
| 77 |
+
--device=/dev/kfd --device=/dev/dri \
|
| 78 |
+
--group-add=video --group-add=render --ipc=host --ulimit memlock=-1 \
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| 79 |
+
-v "$HOME/.cache/huggingface:/root/.cache/huggingface" \
|
| 80 |
+
capicua25x/vllm-rocm-rdna4:0.19.1 \
|
| 81 |
+
--model Capicua25x/Ornith-1.0-35B-MXFP4-Vision-MTP \
|
| 82 |
+
--served-model-name ornith --trust-remote-code \
|
| 83 |
+
--tensor-parallel-size 2 \
|
| 84 |
+
--gpu-memory-utilization 0.92 \
|
| 85 |
+
--max-model-len 262144 \
|
| 86 |
+
--attention-backend TRITON_ATTN \
|
| 87 |
+
--enable-prefix-caching --max-num-seqs 64 \
|
| 88 |
+
--enable-auto-tool-choice --tool-call-parser qwen3_xml --reasoning-parser qwen3 \
|
| 89 |
+
--speculative-config '{"method":"mtp","num_speculative_tokens":3}'
|
| 90 |
+
```
|
| 91 |
+
|
| 92 |
+
### The settings that actually matter on RDNA4
|
| 93 |
+
- `--attention-backend TRITON_ATTN` — required on gfx1201; the 0.19.1 default (`ROCM_ATTN`) collapses
|
| 94 |
+
spec-decode throughput at concurrency.
|
| 95 |
+
- `--speculative-config '{"method":"mtp","num_speculative_tokens":3}'` — enables the grafted MTP head.
|
| 96 |
+
**n=3 maximizes throughput; n=1–2 maximize per-token acceptance.** Tune per workload.
|
| 97 |
+
- `--tool-call-parser qwen3_xml --reasoning-parser qwen3` — Qwen-family tool-calling + reasoning split.
|
| 98 |
+
- `--trust-remote-code` — the Qwen MoE vision architecture.
|
| 99 |
+
- **Memory** — fits **2× 32 GB** at MXFP4 with 256k context (`--gpu-memory-utilization 0.92`,
|
| 100 |
+
`--max-num-seqs 64`). The 35 B does not fit a single 32 GB GPU at this context; use TP2.
|
| 101 |
+
|
| 102 |
+
## How it was built (reproducible)
|
| 103 |
+
1. **MXFP4 quantize** Ornith-1.0-35B with `compressed-tensors` (4-bit float, group 32, symmetric;
|
| 104 |
+
`lm_head` / `embed_tokens` / norms / vision tower left BF16).
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| 105 |
+
2. **Graft** the `mtp.*` MoE head (785 BF16 tensors — including the per-expert
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| 106 |
+
`mtp.layers.0.mlp.experts.N.*` projections) from the donor checkpoint into a new
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| 107 |
+
`model-mtp.safetensors` shard and patch `model.safetensors.index.json`.
|
| 108 |
+
3. **Mark the head unquantized** — add every `mtp.*` Linear module (the `fc`, the attention projections,
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| 109 |
+
and all per-expert MLP projections) to `quantization_config.ignore`, so vLLM's compressed-tensors
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| 110 |
+
loader keeps the BF16 head as-is instead of expecting MXFP4 weight-scales. This is the one
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| 111 |
+
mixed-precision gotcha; for a MoE head it means **hundreds** of ignore entries (derived
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| 112 |
+
automatically from the head's rank-2 tensors).
|
| 113 |
+
|
| 114 |
+
Steps 2–3 are scripted in [`recipe_graft_mxfp4.py`](./recipe_graft_mxfp4.py) — it copies **every**
|
| 115 |
+
`mtp.*` tensor from the donor and derives the ignore list from the rank-2 (matmul) weights, so the same
|
| 116 |
+
script handles both a dense head and this MoE head.
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| 117 |
+
|
| 118 |
+
## Credits
|
| 119 |
+
- **DeepReinforce** — [`Ornith-1.0-35B`](https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B), the base/trunk model (MIT).
|
| 120 |
+
- **nerkyor** — [`Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill`](https://huggingface.co/nerkyor/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill), which trained the MoE MTP head grafted here.
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| 121 |
+
- **DeepSeek** — DeepSeek-V4-Pro-Thinking, the model that distill learned from.
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| 122 |
+
- **Qwen / Alibaba** — the Qwen MoE (A3B) architecture shared by both the trunk and the grafted head.
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| 123 |
+
- **vLLM** and **compressed-tensors** — serving stack and quantization format.
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| 124 |
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- **Rob Smith** (`tcclaviger`) — the [RDNA4 vLLM base image](https://hub.docker.com/r/tcclaviger/vllm-rocm-mxfp4-nvfp4) that made gfx1201 serving possible. The [`capicua25x/vllm-rocm-rdna4`](https://hub.docker.com/r/capicua25x/vllm-rocm-rdna4) image this model runs on is a forward-port of his work — without it, none of this runs.
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| 125 |
+
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| 126 |
+
## License
|
| 127 |
+
**Apache-2.0.** This combines the Ornith-1.0-35B trunk (MIT, DeepReinforce) with a grafted MTP head
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| 128 |
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(Apache-2.0). MIT is one-way compatible with Apache-2.0, so the combined derivative is distributed under
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+
Apache-2.0; both upstream notices are preserved above in Credits.
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chat_template.jinja
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| 1 |
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{%- set image_count = namespace(value=0) %}
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| 2 |
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{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
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{%- if content is string %}
|
| 5 |
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{{- content }}
|
| 6 |
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{%- elif content is iterable and content is not mapping %}
|
| 7 |
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{%- for item in content %}
|
| 8 |
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{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
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{%- if is_system_content %}
|
| 10 |
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{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
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{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
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{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
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| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
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| 17 |
+
{%- endif %}
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| 18 |
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{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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| 19 |
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{%- elif 'video' in item or item.type == 'video' %}
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| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
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| 22 |
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{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
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| 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 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\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>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 101 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 102 |
+
{%- for tool_call in message.tool_calls %}
|
| 103 |
+
{%- if tool_call.function is defined %}
|
| 104 |
+
{%- set tool_call = tool_call.function %}
|
| 105 |
+
{%- endif %}
|
| 106 |
+
{%- if loop.first %}
|
| 107 |
+
{%- if content|trim %}
|
| 108 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 109 |
+
{%- else %}
|
| 110 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{%- else %}
|
| 113 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 114 |
+
{%- endif %}
|
| 115 |
+
{%- if tool_call.arguments is defined %}
|
| 116 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 117 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 118 |
+
{%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
|
| 119 |
+
{{- args_value }}
|
| 120 |
+
{{- '\n</parameter>\n' }}
|
| 121 |
+
{%- endfor %}
|
| 122 |
+
{%- endif %}
|
| 123 |
+
{{- '</function>\n</tool_call>' }}
|
| 124 |
+
{%- endfor %}
|
| 125 |
+
{%- endif %}
|
| 126 |
+
{{- '<|im_end|>\n' }}
|
| 127 |
+
{%- elif message.role == "tool" %}
|
| 128 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 129 |
+
{{- '<|im_start|>user' }}
|
| 130 |
+
{%- endif %}
|
| 131 |
+
{{- '\n<tool_response>\n' }}
|
| 132 |
+
{{- content }}
|
| 133 |
+
{{- '\n</tool_response>' }}
|
| 134 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 135 |
+
{{- '<|im_end|>\n' }}
|
| 136 |
+
{%- elif loop.last %}
|
| 137 |
+
{{- '<|im_end|>\n' }}
|
| 138 |
+
{%- endif %}
|
| 139 |
+
{%- else %}
|
| 140 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 141 |
+
{%- endif %}
|
| 142 |
+
{%- endfor %}
|
| 143 |
+
{%- if add_generation_prompt %}
|
| 144 |
+
{{- '<|im_start|>assistant\n' }}
|
| 145 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 146 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 147 |
+
{%- else %}
|
| 148 |
+
{{- '<think>\n' }}
|
| 149 |
+
{%- endif %}
|
| 150 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,1501 @@
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|
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|
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|
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|
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|
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|
| 1456 |
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|
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|
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|
| 1459 |
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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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|
| 1467 |
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|
| 1468 |
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|
| 1469 |
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|
| 1470 |
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|
| 1471 |
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|
| 1472 |
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|
| 1473 |
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|
| 1474 |
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|
| 1475 |
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|
| 1476 |
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|
| 1477 |
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|
| 1478 |
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|
| 1479 |
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|
| 1480 |
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|
| 1481 |
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|
| 1482 |
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|
| 1483 |
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|
| 1484 |
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|
| 1485 |
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|
| 1486 |
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|
| 1487 |
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|
| 1488 |
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|
| 1489 |
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|
| 1490 |
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|
| 1491 |
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|
| 1492 |
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|
| 1493 |
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|
| 1494 |
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|
| 1495 |
+
"mtp.layers.0.self_attn.v_proj",
|
| 1496 |
+
"mtp.norm",
|
| 1497 |
+
"mtp.pre_fc_norm_embedding",
|
| 1498 |
+
"mtp.pre_fc_norm_hidden"
|
| 1499 |
+
]
|
| 1500 |
+
}
|
| 1501 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,13 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 248044,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
248046,
|
| 6 |
+
248044
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 248044,
|
| 9 |
+
"temperature": 1.0,
|
| 10 |
+
"top_k": 20,
|
| 11 |
+
"top_p": 0.95,
|
| 12 |
+
"transformers_version": "5.8.1"
|
| 13 |
+
}
|
model-00001-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:2180e67afbb6cd625092df0d5f3c96f4e455d3bf4dd8476ded85f96e41c1db2f
|
| 3 |
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size 2648239472
|
model-00002-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:8e894e4bd2400014c0b99888d82d77c1d6bffca6082304145a02afcb95f34b08
|
| 3 |
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size 1253941328
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model-00003-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:59390bb912e8c45b988b444bbc1bb773d0f318360893fe2c839d3e07ce0e2820
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size 1342092768
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model-00004-of-00016.safetensors
ADDED
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1103909792
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model-00005-of-00016.safetensors
ADDED
|
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version https://git-lfs.github.com/spec/v1
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model-00006-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1342097424
|
model-00007-of-00016.safetensors
ADDED
|
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version https://git-lfs.github.com/spec/v1
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size 1103913424
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model-00008-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1253945480
|
model-00009-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1342097424
|
model-00010-of-00016.safetensors
ADDED
|
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version https://git-lfs.github.com/spec/v1
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model-00011-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1253945480
|
model-00012-of-00016.safetensors
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1342097424
|
model-00013-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1103913424
|
model-00014-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c3b6f2b4b0c3372facdf26318ee1609a117e36ddc649a3d84ca2c14010d828d
|
| 3 |
+
size 1253945480
|
model-00015-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:c1409db098265dfb02ba1b6fee96d723060ce72a3d78cbd44b8976669cea947b
|
| 3 |
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size 1342097424
|
model-00016-of-00016.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:4095466c30abcd185f5a1255cae1a42a07bab9f1c08796d1c701f9fe255167c8
|
| 3 |
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size 1383099712
|
model-mtp.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:e6c8f36002c1db3906a771f613a7295486402f5c39e782df1607f01bce5f2e3f
|
| 3 |
+
size 1689376064
|
model.safetensors.index.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
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 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
+
"patch_size": 16,
|
| 50 |
+
"resample": 3,
|
| 51 |
+
"rescale_factor": 0.00392156862745098,
|
| 52 |
+
"return_metadata": false,
|
| 53 |
+
"size": {
|
| 54 |
+
"longest_edge": 25165824,
|
| 55 |
+
"shortest_edge": 4096
|
| 56 |
+
},
|
| 57 |
+
"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
recipe_graft_mxfp4.py
ADDED
|
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python
|
| 2 |
+
"""Graft a Qwen MoE MTP head into an MXFP4 (compressed-tensors) trunk.
|
| 3 |
+
|
| 4 |
+
Produces this repo: an MXFP4-quantized Ornith-1.0-35B with an MTP draft head transplanted in, so
|
| 5 |
+
vLLM does lossless self-speculative decoding (`--speculative-config
|
| 6 |
+
'{"method":"mtp","num_speculative_tokens":3}'`).
|
| 7 |
+
|
| 8 |
+
Generalized over head shape — it copies EVERY ``mtp.*`` tensor from the donor and derives the
|
| 9 |
+
unquantized-ignore list from the rank-2 (matmul) tensors, so the same script handles a small dense
|
| 10 |
+
head (a handful of Linears) and a MoE head (the `fc`, attention projections, AND hundreds of
|
| 11 |
+
per-expert MLP projections) with no per-model tensor list.
|
| 12 |
+
|
| 13 |
+
It does two things:
|
| 14 |
+
1. Copies all ``mtp.*`` head tensors (BF16) from a donor checkpoint into a new
|
| 15 |
+
``model-mtp.safetensors`` shard and patches ``model.safetensors.index.json``. Big trunk shards
|
| 16 |
+
are hard-linked (no multi-GB copy); small files are copied.
|
| 17 |
+
2. Adds each ``mtp.*`` Linear module to ``quantization_config.ignore`` so the compressed-tensors
|
| 18 |
+
loader keeps the BF16 head as-is instead of expecting MXFP4 weight-scales. A tensor is treated
|
| 19 |
+
as a Linear (and ignored) iff it is rank-2 and ends in ``.weight``; rank-1 norms are left out.
|
| 20 |
+
This is the one mixed-precision gotcha — without it the model won't load.
|
| 21 |
+
|
| 22 |
+
Inputs:
|
| 23 |
+
--donor a checkpoint that SHIPS the mtp.* head (here: the Qwen MoE thinking distill, which keeps
|
| 24 |
+
its trained MoE MTP head in BF16).
|
| 25 |
+
--target an MXFP4 compressed-tensors trunk of Ornith-1.0-35B (lm_head/embed_tokens/vision BF16).
|
| 26 |
+
--out output checkpoint dir.
|
| 27 |
+
|
| 28 |
+
Credits: trunk — DeepReinforce (Ornith-1.0-35B, MIT); MTP head — nerkyor's
|
| 29 |
+
Qwen3.6-35B-A3B-DSV4Pro-Thinking distill (Apache-2.0), a DeepSeek-V4-Pro-Thinking distill of
|
| 30 |
+
Qwen3.6-35B-A3B; architecture — Qwen MoE. Serving — vLLM + compressed-tensors. RDNA4 base image —
|
| 31 |
+
Rob Smith / tcclaviger. License of the combined work: Apache-2.0.
|
| 32 |
+
|
| 33 |
+
Usage:
|
| 34 |
+
python recipe_graft_mxfp4_35b.py \
|
| 35 |
+
--donor Capicua25x/Qwen3.6-35B-A3B-DSV4Pro-Thinking-Distill-MXFP4-Vision \
|
| 36 |
+
--target ./Ornith-1.0-35B-MXFP4 \
|
| 37 |
+
--out ./Ornith-1.0-35B-MXFP4-Vision-MTP
|
| 38 |
+
"""
|
| 39 |
+
import argparse, glob, json, os, shutil
|
| 40 |
+
from safetensors import safe_open
|
| 41 |
+
from safetensors.torch import save_file
|
| 42 |
+
|
| 43 |
+
MTP_SHARD = "model-mtp.safetensors"
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
def resolve(path_or_repo: str) -> str:
|
| 47 |
+
"""Local dir with weights -> itself; else download the HF snapshot."""
|
| 48 |
+
if os.path.isdir(path_or_repo) and glob.glob(os.path.join(path_or_repo, "*.safetensors")):
|
| 49 |
+
return path_or_repo
|
| 50 |
+
from huggingface_hub import snapshot_download
|
| 51 |
+
return snapshot_download(path_or_repo)
|
| 52 |
+
|
| 53 |
+
|
| 54 |
+
def main() -> int:
|
| 55 |
+
ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
|
| 56 |
+
ap.add_argument("--donor", required=True, help="checkpoint that ships the mtp.* head")
|
| 57 |
+
ap.add_argument("--target", required=True, help="MXFP4 compressed-tensors trunk to graft into")
|
| 58 |
+
ap.add_argument("--out", required=True, help="output checkpoint dir")
|
| 59 |
+
ap.add_argument("--force", action="store_true", help="overwrite --out if it exists")
|
| 60 |
+
args = ap.parse_args()
|
| 61 |
+
|
| 62 |
+
donor, target = resolve(args.donor), resolve(args.target)
|
| 63 |
+
|
| 64 |
+
# 1. pull EVERY mtp.* tensor from the donor; record the Linear (rank-2) modules to ignore
|
| 65 |
+
head, ignore = {}, []
|
| 66 |
+
for shard in glob.glob(os.path.join(donor, "*.safetensors")):
|
| 67 |
+
with safe_open(shard, framework="pt") as f:
|
| 68 |
+
for k in f.keys():
|
| 69 |
+
if not k.startswith("mtp."):
|
| 70 |
+
continue
|
| 71 |
+
t = f.get_tensor(k).contiguous()
|
| 72 |
+
head[k] = t
|
| 73 |
+
if k.endswith(".weight") and t.dim() == 2: # a Linear weight -> mark unquantized
|
| 74 |
+
ignore.append(k[: -len(".weight")])
|
| 75 |
+
assert head, "donor ships no mtp.* tensors"
|
| 76 |
+
ignore = sorted(set(ignore))
|
| 77 |
+
print(f"head: {len(head)} tensors, {len(ignore)} Linear modules to ignore "
|
| 78 |
+
f"(all BF16: {all(str(t.dtype) == 'torch.bfloat16' for t in head.values())})")
|
| 79 |
+
|
| 80 |
+
# 2. validate the target can host the head
|
| 81 |
+
idx = json.load(open(os.path.join(target, "model.safetensors.index.json")))
|
| 82 |
+
wm = idx["weight_map"]
|
| 83 |
+
assert "lm_head.weight" in wm, "target missing lm_head.weight"
|
| 84 |
+
assert any(k.endswith("embed_tokens.weight") for k in wm), "target missing embed_tokens"
|
| 85 |
+
assert not any(k.startswith("mtp.") for k in wm), "target already has an mtp head"
|
| 86 |
+
|
| 87 |
+
# 3. build output: hard-link big shards, copy small files
|
| 88 |
+
if os.path.exists(args.out):
|
| 89 |
+
assert args.force, f"{args.out} exists (use --force)"
|
| 90 |
+
shutil.rmtree(args.out)
|
| 91 |
+
os.makedirs(args.out)
|
| 92 |
+
for fn in os.listdir(target):
|
| 93 |
+
src = os.path.realpath(os.path.join(target, fn))
|
| 94 |
+
if not os.path.isfile(src):
|
| 95 |
+
continue
|
| 96 |
+
dst = os.path.join(args.out, fn)
|
| 97 |
+
if fn.endswith(".safetensors"):
|
| 98 |
+
try:
|
| 99 |
+
os.link(src, dst)
|
| 100 |
+
except OSError:
|
| 101 |
+
shutil.copy2(src, dst)
|
| 102 |
+
else:
|
| 103 |
+
shutil.copy2(src, dst)
|
| 104 |
+
|
| 105 |
+
# 4. write the mtp shard + patch the index
|
| 106 |
+
save_file(head, os.path.join(args.out, MTP_SHARD), metadata={"format": "pt"})
|
| 107 |
+
added = 0
|
| 108 |
+
for k, t in head.items():
|
| 109 |
+
wm[k] = MTP_SHARD
|
| 110 |
+
added += t.numel() * t.element_size()
|
| 111 |
+
idx.setdefault("metadata", {})
|
| 112 |
+
if "total_size" in idx["metadata"]:
|
| 113 |
+
idx["metadata"]["total_size"] += added
|
| 114 |
+
json.dump(idx, open(os.path.join(args.out, "model.safetensors.index.json"), "w"), indent=2)
|
| 115 |
+
|
| 116 |
+
# 5. mark the head unquantized in the compressed-tensors config
|
| 117 |
+
cfg = json.load(open(os.path.join(args.out, "config.json")))
|
| 118 |
+
ig = cfg["quantization_config"]["ignore"]
|
| 119 |
+
for m in ignore:
|
| 120 |
+
if m not in ig:
|
| 121 |
+
ig.append(m)
|
| 122 |
+
json.dump(cfg, open(os.path.join(args.out, "config.json"), "w"), indent=2)
|
| 123 |
+
|
| 124 |
+
print(f"OK -> {args.out} (+{MTP_SHARD} {added/1e6:.1f} MB, +{len(ignore)} ignore entries)")
|
| 125 |
+
print("serve: vllm serve <out> --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":3}'")
|
| 126 |
+
return 0
|
| 127 |
+
|
| 128 |
+
|
| 129 |
+
if __name__ == "__main__":
|
| 130 |
+
raise SystemExit(main())
|
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 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 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 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|