4-bit Autotrain compatible Awq Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Codegen Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/deepseek-coder-5.7bmqa-base-AWQ
Deepseek Coder 5.7bmqa Base AWQ 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)
Deepseek Coder 5.7bmqa Base AWQ Parameters and Internals
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| LLM Name | Deepseek Coder 5.7bmqa Base AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/deepseek-coder-5.7bmqa-base-AWQ |
| Model Name | Deepseek Coder 5.7Bmqa Base |
| Model Creator | DeepSeek |
| Base Model(s) | |
| Model Size | 991.8m |
| Required VRAM | 3.4 GB |
| Updated | 2025-02-22 |
| Maintainer | TheBloke |
| Model Type | deepseek |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | LlamaTokenizerFast |
| Beginning of Sentence Token | <｜begin▁of▁sentence｜> |
| End of Sentence Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 32256 |
| Torch Data Type | float16 |
Rank the Deepseek Coder 5.7bmqa Base AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227