| Model Type |
| |||||||||
| Use Cases |
|
| LLM Name | Codellama 13B Bnb 4bit |
| Repository ๐ค | https://huggingface.co/unsloth/codellama-13b-bnb-4bit |
| Model Size | 13b |
| Required VRAM | 7.2 GB |
| Updated | 2025-09-23 |
| Maintainer | unsloth |
| Model Type | llama |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | CodeLlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32016 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| WhiteRabbitNeo 13B V1 | 16K / 26 GB | 2649 | 429 |
| CodeLlama 13B Python Fp16 | 16K / 26 GB | 2833 | 25 |
| CodeLlama 13B Instruct Fp16 | 16K / 26 GB | 2847 | 28 |
| ...Llama 13B Instruct Hf 4bit MLX | 16K / 7.8 GB | 1196 | 2 |
| CodeLlama 13B Fp16 | 16K / 26 GB | 7 | 66 |
| Trinity 13B | 16K / 26 GB | 6 | 15 |
| Trinity 13B 6.0bpw H6 EXL2 | 16K / 10 GB | 7 | 2 |
| Trinity 13B 5.0bpw H6 EXL2 | 16K / 8.4 GB | 7 | 1 |
| Trinity 13B 3.0bpw H6 EXL2 | 16K / 5.2 GB | 6 | 1 |
| Trinity 13B 4.0bpw H6 EXL2 | 16K / 6.8 GB | 2 | 1 |
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