4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... En Endpoints compatible Gguf Mistral Quantized Region:us Unsloth
Soc2 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)
Soc2 Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Soc2 |
| Repository 🤗 | https://huggingface.co/not-lain/soc2 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2024-11-21 |
| Maintainer | not-lain |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Soc2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 18 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1970553 | 63 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 2130542 | 9 |
| WizardLM 2 7B GGUF | 0K / 2.7 GB | 1906034 | 74 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 138341 | 398 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 58327 | 7 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 188922 | 511 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than not-lain/soc2 .
Rank the Soc2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110