128k context 8 experts 8 x 4b Autotrain compatible Brainstorm 5x Conversational Endpoints compatible Fine tune Instruct Llama 3.2 Mixtral Mixture of experts Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/L3.2-8X4B-MOE-V2-Dark-Champion-Inst-21B-uncen-ablit
L3.2 8X4B MoE V2 Dark Champion Inst 21B Uncen Ablit 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)
L3.2 8X4B MoE V2 Dark Champion Inst 21B Uncen Ablit Parameters and Internals
| LLM Name | L3.2 8X4B MoE V2 Dark Champion Inst 21B Uncen Ablit |
| Repository 🤗 | https://huggingface.co/DavidAU/L3.2-8X4B-MOE-V2-Dark-Champion-Inst-21B-uncen-ablit |
| Model Size | 20.9b |
| Required VRAM | 83.3 GB |
| Updated | 2025-09-23 |
| Maintainer | DavidAU |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|begin_of_text|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float32 |
Best Alternatives to L3.2 8X4B MoE V2 Dark Champion Inst 21B Uncen Ablit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...nsored Abliterated 21B Q 6 MLX | 128K / 18.3 GB | 381 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than DavidAU/L3.2-8X4B-MOE-V2-Dark-Champion-Inst-21B-uncen-ablit .
Rank the L3.2 8X4B MoE V2 Dark Champion Inst 21B Uncen Ablit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124