Model Card on HF 🤗: https://huggingface.co/ncoop57/mojo_starcoder2
Mojo Starcoder2 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)
Mojo Starcoder2 Parameters and Internals
| LLM Name | Mojo Starcoder2 |
| Repository 🤗 | https://huggingface.co/ncoop57/mojo_starcoder2 |
| Model Size | 3b |
| Required VRAM | 6.4 GB |
| Updated | 2024-08-13 |
| Maintainer | ncoop57 |
| Model Type | starcoder2 |
| Model Files | |
| Model Architecture | Starcoder2ForCausalLM |
| License | bigcode-openrail-m |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 49152 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mojo Starcoder2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Starcoder2 3B | 16K / 12.1 GB | 190893 | 209 |
| Starcoder2 3b AutoRedteam | 16K / 12.7 GB | 5 | 0 |
| Starcoder Proto Code | 16K / 6.1 GB | 5 | 0 |
| NEARCoder 3B | 16K / 6.1 GB | 5 | 0 |
| NEAR StructTunedStarcoder2 | 16K / 6.1 GB | 5 | 0 |
| NEAR PreTrainedStarCoder2 | 16K / 6.1 GB | 5 | 0 |
| Bigcode Starcoder2 3B 8bits | 16K / 3.2 GB | 8 | 0 |
| Starcoder2 3B Instruct | 16K / 6.1 GB | 80 | 5 |
| OpenCodeInterpreter SC2 3B | 16K / 6.4 GB | 88 | 7 |
| Opencsg Starcoder2 3B V0.1 | 16K / 6.4 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ncoop57/mojo_starcoder2 .
Rank the Mojo Starcoder2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124