Slither LLM Auditor 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)
Slither LLM Auditor Parameters and Internals
| LLM Name | Slither LLM Auditor |
| Repository 🤗 | https://huggingface.co/Royal-lobster/Slither-LLM-Auditor |
| Model Size | 34b |
| Required VRAM | 3.3 GB |
| Updated | 2024-09-27 |
| Maintainer | Royal-lobster |
| Model Type | llama |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.35.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Slither LLM Auditor
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...gpt 32K Codellama 34B Instruct | 32K / 67.5 GB | 936 | 2 |
| CodeLlama 34B Instruct Hf | 16K / 67.5 GB | 17725 | 273 |
| Phind CodeLlama 34B V2 | 16K / 67.5 GB | 31784 | 822 |
| ReflectionCoder CL 34B | 16K / 67.6 GB | 522 | 0 |
| Speechless Codellama 34B V2.0 | 16K / 67.5 GB | 654 | 17 |
| CodeLlama 34B Hf | 16K / 67.5 GB | 9752 | 166 |
| Phind CodeLlama 34B V1 | 16K / 67.5 GB | 792 | 323 |
| Phind CodeLlama 34B Python V1 | 16K / 67.5 GB | 688 | 251 |
| CodeLlama 34B Instruct Hf | 16K / 67.5 GB | 1032 | 7 |
| CodeLlama 34B Python Hf | 16K / 67.5 GB | 2996 | 94 |
Note: green Score (e.g. "73.2") means that the model is better than Royal-lobster/Slither-LLM-Auditor .
Rank the Slither LLM Auditor Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803