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…
Runs locally from ~861.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwopus3.6-35B-A3B-v1-MTP-Q3_K_M.gguf | GGUF | Q3_K_M | 15.99 GB | Download |
| Qwopus3.6-35B-A3B-v1-MTP-Q4_K_M.gguf | GGUF | Q4_K_M | 20.22 GB | Download |
| Qwopus3.6-35B-A3B-v1-MTP-Q5_K_M.gguf | GGUF | Q5_K_M | 23.61 GB | Download |
| Qwopus3.6-35B-A3B-v1-MTP-Q6_K.gguf | GGUF | Q6_K | 27.20 GB | Download |
| Qwopus3.6-35B-A3B-v1-MTP-Q8_0.gguf | GGUF | Q8_0 | 35.21 GB | Download |
| mmproj-F32.gguf | GGUF | F32 | 861.0 MB | Download |
Model Details
| Model ID | Jackrong/Qwopus3.6-35B-A3B-v1-MTP-GGUF |
|---|---|
| Author | Jackrong |
| Pipeline | image-text-to-text |
| License | apache-2.0 |
| Base model | unsloth/Qwen3.6-35B-A3B |
| Last modified | 2026-07-09T03:37:39.000Z |
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
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<span>⚡</span> What is MTP (Multi-Token Prediction)?
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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.
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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.
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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.ggufQwopus3.6-35B-A3B-v1-MTP-Q3_K_S.ggufQwopus3.6-35B-A3B-v1-MTP-Q3_K_M.ggufQwopus3.6-35B-A3B-v1-MTP-Q3_K_L.ggufQwopus3.6-35B-A3B-v1-MTP-IQ4_XS.ggufQwopus3.6-35B-A3B-v1-MTP-Q4_K_S.ggufQwopus3.6-35B-A3B-v1-MTP-Q4_K_M.ggufQwopus3.6-35B-A3B-v1-MTP-Q5_K_S.ggufQwopus3.6-35B-A3B-v1-MTP-Q5_K_M.ggufQwopus3.6-35B-A3B-v1-MTP-Q6_K.ggufQwopus3.6-35B-A3B-v1-MTP-Q8_0.ggufQwopus3.6-35B-A3B-v1-MTP-BF16.gguf
This release was prepared by validating or injecting Qwen MTP/nextn tensors before GGUF conversion.
Run Jackrong/Qwopus3.6-35B-A3B-v1-MTP-GGUF with guIDE
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