Model Type |
| ||||||||||||
Use Cases |
| ||||||||||||
Additional Notes |
| ||||||||||||
Training Details |
| ||||||||||||
Input Output |
|
LLM Name | Llama 2 Coder 7B AWQ |
Repository ๐ค | https://huggingface.co/TheBloke/Llama-2-Coder-7B-AWQ |
Model Creator | mrm8488 |
Base Model(s) | |
Model Size | 7b |
Required VRAM | 3.9 GB |
Updated | 2024-12-22 |
Maintainer | TheBloke |
Model Type | llama |
Model Files | |
Supported Languages | code |
AWQ Quantization | Yes |
Quantization Type | awq |
Generates Code | Yes |
Model Architecture | LlamaForCausalLM |
License | apache-2.0 |
Context Length | 4096 |
Model Max Length | 4096 |
Transformers Version | 4.31.0 |
Tokenizer Class | LlamaTokenizer |
Beginning of Sentence Token | <s> |
End of Sentence Token | </s> |
Unk Token | <unk> |
Vocabulary Size | 32000 |
Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
...Llama 7B Python Hf W4 G128 AWQ | 16K / 3.9 GB | 2359 | 0 |
CodeLlama 7B Instruct AWQ | 16K / 3.9 GB | 176 | 4 |
CodeLlama 7B AWQ | 16K / 3.9 GB | 34 | 5 |
CodeLlama 7B Python AWQ | 16K / 3.9 GB | 22 | 4 |
...ama 7B Instruct Hf W4 G128 AWQ | 16K / 3.9 GB | 22 | 0 |
...eepseek Coder 7B Base V1.5 AWQ | 4K / 4.8 GB | 0 | 0 |
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 | 14 | 0 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐