Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Finetuned Lora Peft Region:us Safetensors
Magicoder 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)
Magicoder Parameters and Internals
| Model Type |
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| Use Cases |
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| Additional Notes |
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| Input Output |
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| LLM Name | Magicoder |
| Repository 🤗 | https://huggingface.co/predibase/magicoder |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2024-11-23 |
| Maintainer | predibase |
| Model Files | |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
Best Alternatives to Magicoder
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| CodeAstra 7B | 0K / 0 GB | 541 | 8 |
| Qwen1.5 7B Chat Sa V0.1 | 0K / 0 GB | 5 | 0 |
| Deepseek Llm 7B Chat Sa V0.1 | 0K / 0 GB | 5 | 0 |
| ...eze Embed Tokens Q V Proj Lora | 0K / 0.1 GB | 2 | 1 |
| Glue Sst2 | 0K / 0 GB | 10327 | 1 |
| Llamaduo Synth Ds V0.1 | 0K / 0.2 GB | 9 | 1 |
| Storytell | 0K / 0 GB | 8 | 0 |
| Zephyr 7B Gpo V5 I1 | 0K / 0.7 GB | 6 | 0 |
| Zephyr 7B Gpo V6 I1 | 0K / 0.7 GB | 5 | 0 |
| Mistral 7B V0.1 AviationQA | 0K / 1.3 GB | 145 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than predibase/magicoder .
Rank the Magicoder Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110