Blackfrost-AI/MiMo-V2.6-Distill-Qwen-9B-DERISKED-GGUF

认证创作者 Blackfrost-AI 已认证
🤗 Hugging Face 来源image-text-to-textmit激活 9B5.5 GBGGUF✓ 2 个校验和今天更新
需要做种者 →

MiMo-V2.6 Distill Qwen 9B DWM a1p1 — Q3_K_M GGUF

This repository contains a Q3_K_M GGUF conversion of a DWM-modified MiMo-V2.6 Distill Qwen 9B checkpoint, along with the BF16 vision projector required for multimodal use.

Files

File Purpose Size
MiMo-V2.6-Distill-Qwen-9B-DWM-a1p1-Q3_K_M.gguf Main Q3_K_M model 4.62 GB
mmproj-MiMo-V2.6-Distill-Qwen-9B-DWM-a1p1-BF16.gguf BF16 vision projector 0.92 GB

The intermediate BF16 main-model GGUF is intentionally not included.

Conversion and validation

  • Quantization: Q3_K_M (4.12 effective bits per weight)
  • Architecture metadata: qwen35
  • Decoder blocks: 32
  • Trained context length: 262,144 tokens
  • Main-model tensors: 427
  • Vision-projector tensors: 334
  • llama.cpp commit: d1a92352cbd417fd840b4e765c0b82f5fe3d1d89

The source configuration advertised one MTP/NextN layer but contained no serialized mtp.* tensors. The corrected conversion therefore excluded the absent NextN layer. The main model and vision projector were load-tested together, and a short text-generation smoke test completed successfully.

Usage

Use a recent llama.cpp build with MiMo/Qwen3.5 multimodal support:

llama-server \
  -m MiMo-V2.6-Distill-Qwen-9B-DWM-a1p1-Q3_K_M.gguf \
  --mmproj mmproj-MiMo-V2.6-Distill-Qwen-9B-DWM-a1p1-BF16.gguf \
  --ctx-size 262144 \
  --jinja

Actual usable context depends on available memory. File hashes are recorded in SHA256SUMS.

Access

This is a public, manually gated research release. Submit an access request through the Hugging Face repository page.