Model Card on HF 🤗: https://huggingface.co/jonathanjordan21/mos-mamba-6x130m-train
Mos Mamba 6x130m Train 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)
Mos Mamba 6x130m Train Parameters and Internals
| LLM Name | Mos Mamba 6x130m Train |
| Repository 🤗 | https://huggingface.co/jonathanjordan21/mos-mamba-6x130m-train |
| Model Size | 144m |
| Required VRAM | 0.2 GB |
| Updated | 2025-08-14 |
| Maintainer | jonathanjordan21 |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Is Biased | none |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate|dt_proj|A_log|w3|w5|w1|w4|in_proj|w0|w2|lm_head|out_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0 |
| R Param | 32 |
Best Alternatives to Mos Mamba 6x130m Train
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mos Mamba 6x130m Trainer | 0K / 0.1 GB | 10 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jonathanjordan21/mos-mamba-6x130m-train .
Rank the Mos Mamba 6x130m Train Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124