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Jackrong/Qwopus3.6-35B-A3B-v1-MTP-GGUF overview

Jackrong/Qwopus3.6 35B A3B v1 MTP GGUF <div style="font family: apple system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans serif; border: 1px solid 93c5fd; bor…

transformersggufllama.cppimage-text-to-textvisionmultimodaltext-generation-inferenceunslothconversationalmtpmulti-token-predictionspeculative-decodingqwen3_6moereasoningchain-of-thoughtlorasfttool-usefunction-callinglong-contextenzhes

Runs locally from ~861.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
31,619
Likes
51
Pipeline
image-text-to-text
Author

Repository Files & Downloads

6 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
Qwopus3.6-35B-A3B-v1-MTP-Q3_K_M.ggufGGUFQ3_K_M15.99 GBDownload
Qwopus3.6-35B-A3B-v1-MTP-Q4_K_M.ggufGGUFQ4_K_M20.22 GBDownload
Qwopus3.6-35B-A3B-v1-MTP-Q5_K_M.ggufGGUFQ5_K_M23.61 GBDownload
Qwopus3.6-35B-A3B-v1-MTP-Q6_K.ggufGGUFQ6_K27.20 GBDownload
Qwopus3.6-35B-A3B-v1-MTP-Q8_0.ggufGGUFQ8_035.21 GBDownload
mmproj-F32.ggufGGUFF32861.0 MBDownload

Model Details

Model IDJackrong/Qwopus3.6-35B-A3B-v1-MTP-GGUF
AuthorJackrong
Pipelineimage-text-to-text
Licenseapache-2.0
Base modelunsloth/Qwen3.6-35B-A3B
Last modified2026-07-09T03:37:39.000Z

Model README

---

library_name: transformers

base_model:

  • unsloth/Qwen3.6-35B-A3B

tags:

  • gguf
  • llama.cpp
  • image-text-to-text
  • vision
  • multimodal
  • text-generation-inference
  • transformers
  • unsloth
  • conversational
  • mtp
  • multi-token-prediction
  • speculative-decoding
  • qwen3_6
  • moe
  • reasoning
  • chain-of-thought
  • lora
  • sft
  • tool-use
  • function-calling
  • long-context

license: apache-2.0

language:

  • en
  • zh
  • es
  • ru
  • ja

pipeline_tag: image-text-to-text

datasets:

  • Jackrong/Claude-opus-4.7-TraceInversion-5000x
  • Jackrong/Claude-opus-4.6-TraceInversion-9000x

---

Jackrong/Qwopus3.6-35B-A3B-v1-MTP-GGUF

<div style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; border: 1px solid #93c5fd; border-radius: 12px; overflow: hidden; background: #ffffff; box-shadow: 0 2px 4px rgba(0,0,0,0.02); margin-bottom: 20px;">

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<span>⚡</span> What is MTP (Multi-Token Prediction)?

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<div style="padding: 16px; font-size: 13px; color: #334155; line-height: 1.6;">

MTP (Multi-Token Prediction) is a technique introduced in the Qwen3.6 architecture that enables the model to predict multiple future tokens simultaneously. By leveraging dedicated MTP heads, this model supports <b>speculative decoding</b>, where a draft model predicts multiple tokens at once and the target model verifies them in parallel, resulting in significant inference speedups without sacrificing output quality.

<br><br>

This GGUF release preserves the MTP heads from <code>unsloth/Qwen3.6-35B-A3B</code>, making it compatible with mainstream inference frameworks that support MTP-based speculative decoding (such as llama.cpp and its derivatives). For optimal throughput, pair this MTP-enabled GGUF with a corresponding draft model.

</div>

</div>

Source model: Jackrong/Qwopus3.6-35B-A3B-v1

MTP source: unsloth/Qwen3.6-35B-A3B

Uploaded GGUF variants:

  • Qwopus3.6-35B-A3B-v1-MTP-Q2_K.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q3_K_S.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q3_K_M.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q3_K_L.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-IQ4_XS.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q4_K_S.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q4_K_M.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q5_K_S.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q5_K_M.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q6_K.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-Q8_0.gguf
  • Qwopus3.6-35B-A3B-v1-MTP-BF16.gguf

This release was prepared by validating or injecting Qwen MTP/nextn tensors before GGUF conversion.

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