Arxiv:1910.09700 4-bit 4bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Unsloth
Model Card on HF 🤗: https://huggingface.co/weifar/FTAudit-Vuln-Llama3-8b-v0.3
FTAudit Vuln Llama3 8B V0.3 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)
FTAudit Vuln Llama3 8B V0.3 Parameters and Internals
| LLM Name | FTAudit Vuln Llama3 8B V0.3 |
| Repository 🤗 | https://huggingface.co/weifar/FTAudit-Vuln-Llama3-8b-v0.3 |
| Model Size | 8b |
| Required VRAM | 4.1 GB |
| Updated | 2025-06-09 |
| Maintainer | weifar |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to FTAudit Vuln Llama3 8B V0.3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Model | 32K / 30.6 GB | 15 | 0 |
| Phi3 Mini 4bit COIG CQIA | 4K / 2.3 GB | 15 | 0 |
| Ministral 8B Instruct 2410 HF | 32K / 32 GB | 91 | 10 |
| Ministrations 8B V1 | 32K / 16.1 GB | 22 | 20 |
| Ministral 8B Slerp | 32K / 29.2 GB | 7 | 0 |
| DeepOpus 1 8B Preview | 32K / 16.1 GB | 75 | 2 |
| DeepNeo 1 8B Preview | 32K / 16.1 GB | 63 | 2 |
| Bigger Body 8B | 32K / 16.1 GB | 11 | 5 |
| Forgotten Safeword 8B V2.2 | 32K / 16.1 GB | 6 | 1 |
| Reflect Single Mini8B SftT12 | 32K / 16.1 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than weifar/FTAudit-Vuln-Llama3-8b-v0.3 .
Rank the FTAudit Vuln Llama3 8B V0.3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124