Codellama 2 7B V2 Catppt 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)
Codellama 2 7B V2 Catppt Parameters and Internals
| LLM Name | Codellama 2 7B V2 Catppt |
| Repository 🤗 | https://huggingface.co/Parth/codellama-2-7b-v2-catppt |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-21 |
| Maintainer | Parth |
| Model Type | mistral |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Codellama 2 7B V2 Catppt
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Threebird 7B | 32K / 14.5 GB | 8 | 0 |
| Jett W26 Abliterated | 32K / 14.4 GB | 6 | 1 |
| Mistral 7B Merged | 32K / 14.5 GB | 7 | 0 |
| Jett W26 | 32K / 14.5 GB | 7 | 1 |
| Ultra Llm Merged | 32K / 14.5 GB | 6 | 0 |
| The Trinity Coder 7B | 32K / 14.4 GB | 68 | 4 |
| RP Coder SM3 | 32K / 14.5 GB | 73 | 0 |
| MonarchCoder 7B | 32K / 14.4 GB | 60 | 1 |
| ...Mistral 7B Instruct V0.2 Slerp | 32K / 14.5 GB | 26 | 1 |
| BASH Coder Mistral 7B | 32K / 14.4 GB | 12 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Parth/codellama-2-7b-v2-catppt .
Rank the Codellama 2 7B V2 Catppt Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803