Autotrain compatible Codegen Dataset:deepmind/code contests Dataset:mhhmm/leetcode-solutio... En Endpoints compatible Lora Region:us
Model Card on HF 🤗: https://huggingface.co/mhhmm/codegen-6B-lora
Codegen 6B Lora 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)
Codegen 6B Lora Parameters and Internals
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| LLM Name | Codegen 6B Lora |
| Repository 🤗 | https://huggingface.co/mhhmm/codegen-6B-lora |
| Model Size | 6b |
| Required VRAM | 0 GB |
| Updated | 2025-02-05 |
| Maintainer | mhhmm |
| Model Files | |
| Supported Languages | en |
| Generates Code | Yes |
| Model Architecture | AutoModelForCausalLM |
| License | mit |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Rank the Codegen 6B Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227