2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:mixtao/mixtao-7bx2-... Base model:quantized:mixtao/mi... Endpoints compatible Gguf Mistral Mixtral Model-index Moe Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF
MixTAO 7Bx2 MoE V8.1 GGUF 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 GGUF Parameters and Internals
| Model Type |
|
| LLM Name | MixTAO 7Bx2 MoE V8.1 GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF |
| Model Name | MixTAO-7Bx2-MoE-v8.1-GGUF |
| Model Creator | zhengr |
| Base Model(s) | |
| Required VRAM | 4.8 GB |
| Updated | 2025-02-05 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to MixTAO 7Bx2 MoE V8.1 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ComicBot V.2 Gguf | 32K / 5 GB | 23 | 0 |
| Phi 2 GGUF | 0K / 1.2 GB | 2200309 | 195 |
| Marco O1 GGUF | 0K / 3 GB | 501 | 12 |
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 37350 | 611 |
| Mixtral 8x7B V0.1 GGUF | 0K / 15.6 GB | 4950 | 423 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 8747 | 138 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 6026 | 300 |
| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 10 | 3 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 934 | 16 |
| Futfut By Zephyr7b Gguf | 0K / 5.1 GB | 191 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/MixTAO-7Bx2-MoE-v8.1-GGUF .
Rank the MixTAO 7Bx2 MoE V8.1 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227