Model Card on HF 🤗: https://huggingface.co/guaguabear/codebear-7b-4bit
Codebear 7B 4bit 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)
Codebear 7B 4bit Parameters and Internals
| LLM Name | Codebear 7B 4bit |
| Repository 🤗 | https://huggingface.co/guaguabear/codebear-7b-4bit |
| Model Size | 7b |
| Required VRAM | 3.9 GB |
| Updated | 2024-12-22 |
| Maintainer | guaguabear |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.34.0 |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Codebear 7B 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...a 7B Instruct GPTQ Calib Ja 1K | 16K / 3.9 GB | 36 | 0 |
| CodeLlama 7B Instruct GPTQ | 16K / 3.9 GB | 550 | 46 |
| CodeLlama 7B Python GPTQ | 16K / 3.9 GB | 210 | 23 |
| CodeLlama 7B GPTQ | 16K / 3.9 GB | 78 | 14 |
| Codegen Int4 GPTQ Python Code | 4K / 3.9 GB | 12 | 0 |
| Llama 2 Coder 7B GPTQ | 4K / 3.9 GB | 33 | 10 |
| CodeLlama 7B Java 16bit | 16K / 13.5 GB | 17 | 0 |
| Codellama 7B Bnb 4bit | 16K / 3.9 GB | 3316 | 2 |
| ...lama 7B Tofuagent Contpretrain | 16K / 13.5 GB | 28 | 0 |
| ...ruct Solidity Bnb 4bit Smashed | 16K / 4.2 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than guaguabear/codebear-7b-4bit .
Rank the Codebear 7B 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217