Autotrain compatible Dataset:ise-uiuc/magicoder-evo... Dataset:ise-uiuc/magicoder-oss... Endpoints compatible Exl2 Instruct Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Magicoder-S-DS-6.7B-3.0bpw-h6-exl2
Magicoder S DS 6.7B 3.0bpw H6 EXL2 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 S DS 6.7B 3.0bpw H6 EXL2 Parameters and Internals
| Model Type |
|
| LLM Name | Magicoder S DS 6.7B 3.0bpw H6 EXL2 |
| Repository 🤗 | https://huggingface.co/LoneStriker/Magicoder-S-DS-6.7B-3.0bpw-h6-exl2 |
| Model Size | 6.7b |
| Required VRAM | 2.8 GB |
| Updated | 2025-09-23 |
| Maintainer | LoneStriker |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.36.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 32256 |
| Torch Data Type | float32 |
Best Alternatives to Magicoder S DS 6.7B 3.0bpw H6 EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...LI LlumiX 32K Instruct F16 0.2 | 32K / 13.5 GB | 8 | 1 |
| ...LI LlumiX 32K Instruct F16 0.1 | 32K / 13.5 GB | 5 | 0 |
| ...rpreter DS 6.7B 8.0bpw H8 EXL2 | 16K / 6.9 GB | 11 | 2 |
| ...rpreter DS 6.7B 6.0bpw H6 EXL2 | 16K / 5.2 GB | 9 | 2 |
| ...rpreter DS 6.7B 4.0bpw H6 EXL2 | 16K / 3.6 GB | 8 | 1 |
| ...coder S DS 6.7B 4.0bpw H6 EXL2 | 16K / 3.6 GB | 0 | 5 |
| ...coder S DS 6.7B 6.0bpw H6 EXL2 | 16K / 5.2 GB | 7 | 3 |
| ...coder S DS 6.7B 5.0bpw H6 EXL2 | 16K / 4.4 GB | 7 | 2 |
| ...coder S DS 6.7B 8.0bpw H8 EXL2 | 16K / 6.9 GB | 7 | 1 |
| Speechless Coder Ds 6.7B | 16K / 13.5 GB | 1888 | 7 |
Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Magicoder-S-DS-6.7B-3.0bpw-h6-exl2 .
Rank the Magicoder S DS 6.7B 3.0bpw H6 EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124