2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:maziyarpanahi/theto... Base model:quantized:maziyarpa... Endpoints compatible Gguf Instruct Merge Mistral Moe Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1-GGUF
TheTop 5x7B Instruct S5 V0.1 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)
TheTop 5x7B Instruct S5 V0.1 GGUF Parameters and Internals
| Model Type |
|
| LLM Name | TheTop 5x7B Instruct S5 V0.1 GGUF |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1-GGUF |
| Model Name | TheTop-5x7B-Instruct-S5-v0.1-GGUF |
| Model Creator | MaziyarPanahi |
| Base Model(s) | |
| Required VRAM | 2.7 GB |
| Updated | 2024-12-26 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
Best Alternatives to TheTop 5x7B Instruct S5 V0.1 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...ixtral 8x7B Instruct V0.1 GGUF | 0K / 15.6 GB | 64622 | 606 |
| Dolphin 2.5 Mixtral 8x7b GGUF | 0K / 15.6 GB | 16549 | 300 |
| Dolphin 2.7 Mixtral 8x7b GGUF | 0K / 15.6 GB | 11789 | 136 |
| Phi 3 Mini 4K Instruct GGUF | 0K / 1.4 GB | 1358 | 16 |
| Spydaz Web AI | 0K / 4.4 GB | 99 | 3 |
| ...i 3 Mini 4K Instruct V0.3 GGUF | 0K / 1.4 GB | 227 | 5 |
| Phi 3 Mini 4K Instruct | 0K / 2.3 GB | 26 | 0 |
| ...i 3 Mini 4K Instruct V0.2 GGUF | 0K / 1.4 GB | 146 | 2 |
| Dre Phi Gguf | 0K / 2.3 GB | 17 | 0 |
| ...i 3 Mini 4K Instruct V0.1 GGUF | 0K / 1.4 GB | 132 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/TheTop-5x7B-Instruct-S5-v0.1-GGUF .
Rank the TheTop 5x7B Instruct S5 V0.1 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217