Autotrain compatible Conversational En Endpoints compatible Mixtral Moe Region:us Safetensors Sharded Tensorflow Zh
Model Card on HF 🤗: https://huggingface.co/xDAN2099/APUS-xDAN-4.0-MoE-v2
APUS XDAN 4.0 MoE V2 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)
APUS XDAN 4.0 MoE V2 Parameters and Internals
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| LLM Name | APUS XDAN 4.0 MoE V2 |
| Repository 🤗 | https://huggingface.co/xDAN2099/APUS-xDAN-4.0-MoE-v2 |
| Model Size | 113.7b |
| Required VRAM | 227.6 GB |
| Updated | 2025-09-23 |
| Maintainer | xDAN2099 |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en zh |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|im_start|> |
| Vocabulary Size | 64000 |
| Torch Data Type | bfloat16 |
Best Alternatives to APUS XDAN 4.0 MoE V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Astralis 4x34B | 195K / 227.7 GB | 874 | 3 |
| Helion 4x34B | 195K / 227.7 GB | 587 | 11 |
| Helion 4x34B GPTQ | 195K / 58.3 GB | 8 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than xDAN2099/APUS-xDAN-4.0-MoE-v2 .
Rank the APUS XDAN 4.0 MoE V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124