4bit Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-... Conversational En Endpoints compatible Gguf Instruct Mistral Pytorch Quantized Region:us Sft Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/safe049/mistral-v0.3-7b-cybersecurity
Mistral V0.3 7B Cybersecurity 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)
Mistral V0.3 7B Cybersecurity Parameters and Internals
| LLM Name | Mistral V0.3 7B Cybersecurity |
| Repository 🤗 | https://huggingface.co/safe049/mistral-v0.3-7b-cybersecurity |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2025-04-19 |
| Maintainer | safe049 |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Model Max Length | 32768 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
Best Alternatives to Mistral V0.3 7B Cybersecurity
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ReWiz 7B | 0K / 14.5 GB | 163 | 0 |
| ...wen Math 7b 24 1 100 1 Nonmath | 0K / 15.2 GB | 8 | 0 |
| ShoriRP V0.75d | 0K / 0.2 GB | 157 | 32 |
| Mistral 7B Instruct 4bit | 0K / 0.2 GB | 4 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 786450 | 1626 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 1642 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 825 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 72 | 1 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 6 | 0 |
| Full V4 Astromistral Final | 32K / 4.5 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than safe049/mistral-v0.3-7b-cybersecurity .
Rank the Mistral V0.3 7B Cybersecurity Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227