Qwen3.5 264B REAP is an open-source language model by 0xSero. Features: 263.4b LLM, VRAM: 526.9GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.34.
Arxiv:2510.13999 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-397b-a... Conversational Dataset:open-r1/mixture-of-tho... Dataset:salesforce/xlam-functi... Dataset:swe-bench/swe-smith-tr... Dataset:theblackcat102/evol-co... Endpoints compatible Expert-pruning Mixture-of-experts Moe Qwen3 5 moe text Reap Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/0xSero/Qwen3.5-264B-REAP
Qwen3.5 264B REAP 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)
Qwen3.5 264B REAP Parameters and Internals
| LLM Name | Qwen3.5 264B REAP |
| Repository 🤗 | https://huggingface.co/0xSero/Qwen3.5-264B-REAP |
| Base Model(s) | |
| Model Size | 263.4b |
| Required VRAM | 526.9 GB |
| Updated | 2026-04-19 |
| Maintainer | 0xSero |
| Model Type | qwen3_5_moe_text |
| Model Files | |
| Model Architecture | Qwen3_5MoeForCausalLM |
| License | apache-2.0 |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.3.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 248320 |
| Errors | replace |
Rank the Qwen3.5 264B REAP Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a