Base model:mistralai/mixtral-8... De En Es Fr Gguf It License:apache-2.0 Mixtral Moe Quantized Region:us
Mixtral 8x7B V0.1 GGUF Benchmarks
HF Avg Score: 57.7 vs 86.1 (GPT-4) -33%
ARC: 56.6-41.2%
HellaSwag: 72-24.4%
MMLU: 61.7-28.7%
TruthfulQA: 45.7-22.5%
WinoGrande: 78.6-10.2%
GSM8K: 33.7-63.4%
OpenCompass Avg: 59.6 vs 73.3 (GPT-4) -18.7%
Exam: 72.7-5.8%
Language: 45.2-27.1%
Knowledge: 63.2-14%
Understanding: 68-2.9%
Reasoning: 55.9-24.9%
nn.n% — How the model compares to the GPT-4.
Rank the Mixtral 8x7B V0.1 GGUF Capabilities
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Best Alternatives to Mixtral 8x7B V0.1 GGUF
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| MixTAO 7Bx2 MoE V8.1 GGUF | 68 | 0K / 4.8 GB | 801 | 10 |
| FusionNet 34Bx2 MoE GGUF | 67.6 | 0K / 22.4 GB | 274 | 5 |
| ...AO 7Bx2 MoE Instruct V7.0 GGUF | 67.1 | 0K / 4.8 GB | 376 | 10 |
| Helion 4x34B GGUF | 66.2 | 0K / 41.5 GB | 33 | 3 |
| Cosmosis 3x34B GGUF | 66.1 | 0K / 31.9 GB | 90 | 6 |
| ...Top 5x7B Instruct S5 V0.1 GGUF | 65.9 | 0K / 2.7 GB | 159 | 1 |
| ...eTop 5x7B Instruct T V0.1 GGUF | 65.7 | 0K / 2.7 GB | 170 | 0 |
| ...Top 5x7B Instruct S4 V0.1 GGUF | 65.7 | 0K / 2.7 GB | 162 | 0 |
| Go Bruins V2.1.1 GGUF | 65.7 | 0K / 3.1 GB | 356 | 7 |
| Quantum DPO V0.1 GGUF | 65.7 | 0K / 3.1 GB | 246 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-8x7B-v0.1-GGUF .
Mixtral 8x7B V0.1 GGUF Parameters and Internals
| LLM Name | Mixtral 8x7B V0.1 GGUF |
| Repository | Open on 🤗 |
| Model Name | Mixtral 8X7B v0.1 |
| Model Creator | Mistral AI_ |
| Base Model(s) | |
| Required VRAM | 15.6 GB |
| Updated | 2024-06-24 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | fr it de es en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
What open-source LLMs or SLMs are you in search of? 34902 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801