Model Card on HF 🤗: https://huggingface.co/pt-sk/mamba_python
Mamba Python 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)
Mamba Python Parameters and Internals
| Additional Notes |
|
| LLM Name | Mamba Python |
| Repository 🤗 | https://huggingface.co/pt-sk/mamba_python |
| Required VRAM | 2 GB |
| Updated | 2024-12-30 |
| Maintainer | pt-sk |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | AutoModel |
| License | mit |
| Vocabulary Size | 50277 |
Best Alternatives to Mamba Python
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| PairRM | 0K / 1.7 GB | 3957 | 205 |
| Autotrain Umberto Proclama | 0K / 0.9 GB | 5 | 0 |
| ...l 8x7B Instruct V0.1 Llamafile | 0K / GB | 3180 | 18 |
| ...hi 3 Mini 4K Instruct Ct2 Int8 | 0K / 3.8 GB | 5 | 1 |
| ...hin 2.5 Mixtral 8x7b Llamafile | 0K / GB | 933 | 4 |
| CSUMLM | 0K / GB | 6 | 1 |
| Instruct GPT J | 0K / 0 GB | 0 | 26 |
| Vigogne Bloom 7b1 Instruct | 0K / 0.1 GB | 0 | 4 |
| ...a Instruction Fine Tune French | 0K / 0 GB | 0 | 4 |
| MiniMaid L2 | 0K / 0 GB | 6 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than pt-sk/mamba_python .
Rank the Mamba Python Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124