🆘 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! 🌟
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
---|---|---|---|---|
...pseek Coder 1.3B Instruct AQLM | — | 16K / 0.7 GB | 15 | 0 |
Deepseek Coder 1.3B Instruct | — | 16K / 2.7 GB | 15940 | 86 |
Datascience Coder 1.3B | — | 16K / 2.7 GB | 4 | 1 |
Speechless Coder Ds 1.3B | — | 16K / 2.7 GB | 1534 | 0 |
...t Structured Output Peft Merge | — | 16K / 2.7 GB | 5 | 0 |
...pseek Coder 1.3B Instruct GPTQ | — | 16K / 0.9 GB | 93 | 6 |
...epseek Coder 1.3B Instruct AWQ | — | 8K / 0.9 GB | 31 | 2 |
...Coder 1.3B Function Calling V1 | — | 16K / 2.7 GB | 125 | 1 |
LLM Name | Math Deepseek FULL ArithHard 30K |
Repository | Open on 🤗 |
Model Size | 1.3b |
Required VRAM | 0 GB |
Updated | 2024-07-01 |
Maintainer | CMU-AIR2 |
Model Type | llama |
Instruction-Based | Yes |
Model Files | |
Generates Code | Yes |
Model Architecture | LlamaForCausalLM |
Context Length | 16384 |
Model Max Length | 16384 |
Transformers Version | 4.38.2 |
Tokenizer Class | LlamaTokenizer |
Padding Token | <|end▁of▁sentence|> |
Vocabulary Size | 32256 |
Initializer Range | 0.02 |
Torch Data Type | bfloat16 |