Qwen3.6 29B REAP Opus Reasoning Distill MTP is an open-source language model by barozp. Features: 28.2b LLM, VRAM: 56.5GB, Context: 256K, MoE, LLM Explorer Score: 0.28.
Model Card on HF 🤗: https://huggingface.co/barozp/Qwen3.6-29B-REAP-Opus-Reasoning-Distill-MTP
Qwen3.6 29B REAP Opus Reasoning Distill MTP Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Qwen3.6 29B REAP Opus Reasoning Distill MTP Parameters and Internals
| LLM Name | Qwen3.6 29B REAP Opus Reasoning Distill MTP |
| Repository 🤗 | https://huggingface.co/barozp/Qwen3.6-29B-REAP-Opus-Reasoning-Distill-MTP |
| Model Size | 28.2b |
| Required VRAM | 56.5 GB |
| Updated | 2026-07-21 |
| Maintainer | barozp |
| Model Type | qwen3_5_moe_text |
| Model Files | |
| Model Architecture | Qwen3_5MoeForCausalLM |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.13.1 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 248320 |
| Errors | replace |
Best Alternatives to Qwen3.6 29B REAP Opus Reasoning Distill MTP
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3.6 28B REAP | 256K / 56.5 GB | 1773 | 16 |
Note: green Score (e.g. "73.2") means that the model is better than barozp/Qwen3.6-29B-REAP-Opus-Reasoning-Distill-MTP .
Rank the Qwen3.6 29B REAP Opus Reasoning Distill MTP Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a