Autotrain compatible Dataset:netcat420/compsci Endpoints compatible Gguf Mistral Quantized Region:us Safetensors Sharded Tensorflow
MHENNcodemath 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)
MHENNcodemath Parameters and Internals
| LLM Name | MHENNcodemath |
| Repository 🤗 | https://huggingface.co/netcat420/MHENNcodemath |
| Model Size | 7.2b |
| Required VRAM | 28.9 GB |
| Updated | 2024-09-07 |
| Maintainer | netcat420 |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to MHENNcodemath
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LCARS AI 001 | 32K / 14.4 GB | 86 | 4 |
| Zion Alpha | 32K / 14.4 GB | 2576 | 2 |
| Mixtral Quantized | 32K / 14.4 GB | 10 | 0 |
| Zsql En Postgres | 32K / 14.4 GB | 91 | 5 |
| Mayonnaise 4in1 02 | 32K / 14.4 GB | 83 | 0 |
| MHENNlitv3 | 32K / 28.9 GB | 11 | 0 |
| MHENNlitv2 | 32K / 28.9 GB | 10 | 0 |
| MHENNcodemathv2 | 32K / 28.9 GB | 8 | 0 |
| Zephyr DPO V2 | 32K / 14.4 GB | 1216 | 1 |
| AI Tutor | 32K / 14.5 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MHENNcodemath .
Rank the MHENNcodemath Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803