Semcoder 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)
Semcoder Parameters and Internals
| LLM Name | Semcoder |
| Repository 🤗 | https://huggingface.co/semcoder/semcoder |
| Model Size | 6.7b |
| Required VRAM | 13.5 GB |
| Updated | 2024-09-01 |
| Maintainer | semcoder |
| Model Type | llama |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 32256 |
| Torch Data Type | float16 |
Best Alternatives to Semcoder
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Artigenz Coder DS 6.7B | 16K / 13.5 GB | 105291 | 11 |
| Speechless Coder Ds 6.7B | 16K / 13.5 GB | 684 | 5 |
| Deepseek Coder 6.7B Base | 16K / 13.5 GB | 11752 | 80 |
| Speechless Nl2sql Ds 6.7B | 16K / 13.5 GB | 710 | 3 |
| Code 290K 6.7B Instruct | 16K / 13.5 GB | 67 | 6 |
| Wavecoder Ultra 6.7B | 16K / 27 GB | 306 | 74 |
| Hpc Coder V2.6.7B | 16K / 27.1 GB | 123 | 3 |
| Datascience Coder 6.7B | 16K / 13.5 GB | 668 | 3 |
| Merge Code Gen | 16K / 13.6 GB | 5 | 0 |
| ReflectionCoder DS 6.7B | 16K / 13.5 GB | 22 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than semcoder/semcoder .
Rank the Semcoder Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803