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ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock-Q6_K-GGUF overview

ZeroXClem/Qwen3.5 9B Fable 5 Quad Stock Q6 K GGUF This model was converted to GGUF format from ZeroXClem/Qwen3.5 9B Fable 5 Quad Stock https://huggingface.co/Z…

transformersggufmergemergekitmodel_stockbfloat16qwenqwen3.5fable-5distillZeroXClemllama-cpptext-generationenbase_model:ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stockbase_model:quantized:ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stocklicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~875.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
mmproj-qwen3.5-9b-fable-5-quad-stock-f16.ggufGGUFF16875.6 MBDownload
qwen3.5-9b-fable-5-quad-stock-q6_k.ggufGGUFQ6_K6.85 GBDownload

Model Details

Model IDZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock-Q6_K-GGUF
AuthorZeroXClem
Pipelinetext-generation
Licenseapache-2.0
Base modelZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock
Last modified2026-07-03T14:13:51.000Z

Model README

---

license: apache-2.0

language:

  • en

tags:

  • merge
  • mergekit
  • model_stock
  • bfloat16
  • qwen
  • qwen3.5
  • fable-5
  • distill
  • ZeroXClem
  • llama-cpp
  • gguf

base_model: ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock

pipeline_tag: text-generation

library_name: transformers

---

ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock-Q6_K-GGUF

This model was converted to GGUF format from ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock using llama.cpp (master) on Modal.

Refer to the original model card for more details on the model.

> Rebuilt 2026-07-03: the original conversion inherited a stale mtp_num_hidden_layers = 1 from the merge config (mergekit drops the mtp.* tensors of models that not all donors share, but copies the base config verbatim), so the GGUF declared a 33rd block with no tensors behind it and failed to load in every llama.cpp-based runtime (LM Studio included: missing tensor 'blk.32.attn_norm.weight'). Rebuilt from the corrected config — inference weights are unchanged.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

CLI:

llama-cli --hf-repo ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock-Q6_K-GGUF --hf-file qwen3.5-9b-fable-5-quad-stock-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock-Q6_K-GGUF --hf-file qwen3.5-9b-fable-5-quad-stock-q6_k.gguf -c 2048

🖼️ Image input (mmproj)

mmproj-qwen3.5-9b-fable-5-quad-stock-f16.gguf in this repo is the model's vision encoder + projector,

extracted from the same merge. LM Studio and llama.cpp pair it with

the text GGUF automatically when both sit in the model folder — download

both files and the model accepts images.

llama-mtmd-cli --hf-repo ZeroXClem/Qwen3.5-9B-Fable-5-Quad-Stock-Q6_K-GGUF --hf-file qwen3.5-9b-fable-5-quad-stock-q6_k.gguf \
    --mmproj mmproj -p "Describe this image" --image photo.jpg

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