Arxiv:1910.09700 Autotrain compatible Codegen Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
RP Coder SM3 Benchmarks
ARC: 65.78 vs 96.7 (so35)-32%
HellaSwag: 84.21 vs 95.3 (gpt4)-11.6%
MMLU: 63.28 vs 88.3 (so35)-28.3%
TruthfulQA: 54.12 vs 59 (gpt4)-8.3%
WinoGrande: 82.16 vs 87.5 (gpt4)-6.1%
GSM8K: 59.97 vs 96.4 (so35)-37.8%
LLME Score: 0.21481
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)
RP Coder SM3 Parameters and Internals
| LLM Name | RP Coder SM3 |
| Repository 🤗 | https://huggingface.co/fhai50032/RP-Coder-SM3 |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2024-09-21 |
| Maintainer | fhai50032 |
| Model Type | mistral |
| Model Files | |
| Generates Code | Yes |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to RP Coder SM3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Threebird 7B | 32K / 14.5 GB | 8 | 0 |
| Jett W26 Abliterated | 32K / 14.4 GB | 6 | 1 |
| Mistral 7B Merged | 32K / 14.5 GB | 7 | 0 |
| Jett W26 | 32K / 14.5 GB | 7 | 1 |
| Ultra Llm Merged | 32K / 14.5 GB | 6 | 0 |
| The Trinity Coder 7B | 32K / 14.4 GB | 68 | 4 |
| MonarchCoder 7B | 32K / 14.4 GB | 60 | 1 |
| ...Mistral 7B Instruct V0.2 Slerp | 32K / 14.5 GB | 26 | 1 |
| BASH Coder Mistral 7B | 32K / 14.4 GB | 12 | 1 |
| Codellama 2 7B V2 Catppt | 32K / 14.4 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than fhai50032/RP-Coder-SM3 .
Rank the RP Coder SM3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803