MixTAO 7Bx2 MoE V8.1 AWQ is an open-source language model by Ichigo2899. Features: 12.9b LLM, VRAM: 7.1GB, Context: 32K, MoE, Quantized, LLM Explorer Score: 0.12.
Model Card on HF 🤗: https://huggingface.co/Ichigo2899/MixTAO-7Bx2-MoE-v8.1-AWQ
MixTAO 7Bx2 MoE V8.1 AWQ 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)
MixTAO 7Bx2 MoE V8.1 AWQ Parameters and Internals
| LLM Name | MixTAO 7Bx2 MoE V8.1 AWQ |
| Repository 🤗 | https://huggingface.co/Ichigo2899/MixTAO-7Bx2-MoE-v8.1-AWQ |
| Model Size | 12.9b |
| Required VRAM | 7.1 GB |
| Updated | 2026-04-08 |
| Maintainer | Ichigo2899 |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to MixTAO 7Bx2 MoE V8.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Grc FusionNet 7Bx2 MoE 13B AWQ | 32K / 7.1 GB | 9 | 3 |
| Blue Orchid 2x7b AWQ | 8K / 7.1 GB | 5 | 1 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 19298 | 55 |
| MixTAO 7Bx2 MoE V8.1 | 32K / 25.8 GB | 8760 | 52 |
| Inf Silent Kunoichi V0.1 2x7B | 32K / 25.6 GB | 5 | 0 |
| Inf Silent Kunoichi V0.2 2x7B | 32K / 25.6 GB | 6 | 1 |
| LogoS 7Bx2 MoE 13B V0.2 | 32K / 25.9 GB | 7746 | 10 |
| MultiMash8 13B Slerp | 32K / 25.7 GB | 5 | 0 |
| MultiMash11 13B Slerp | 32K / 25.7 GB | 9 | 0 |
| MultiMash9 13B Slerp | 32K / 25.7 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Ichigo2899/MixTAO-7Bx2-MoE-v8.1-AWQ .
Rank the MixTAO 7Bx2 MoE V8.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a