Model Card on HF 🤗: https://huggingface.co/IntervitensInc/intv-mimi-sus
Intv Mimi Sus 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)
Intv Mimi Sus Parameters and Internals
| LLM Name | Intv Mimi Sus |
| Repository 🤗 | https://huggingface.co/IntervitensInc/intv-mimi-sus |
| Model Size | 4b |
| Required VRAM | 9 GB |
| Updated | 2025-07-10 |
| Maintainer | IntervitensInc |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.45.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to Intv Mimi Sus
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| 4Bcpt | 256K / 8.8 GB | 19 | 0 |
| Xgen Small 4B Base R | 256K / 17.7 GB | 71 | 2 |
| HoldMy4BKTO | 256K / 8.8 GB | 6 | 0 |
| Xgen Small 4B Instruct R | 256K / 17.7 GB | 9 | 3 |
| SJT 4B | 146K / 7.6 GB | 6 | 0 |
| Impish LLAMA 4B | 128K / 9 GB | 1805 | 35 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 5270 | 94 |
| ...lama 3.1 Nemotron Nano 4B V1.1 | 128K / 9 GB | 964 | 4 |
| Llama3.2 ColdBrew 4B Test | 128K / 7.2 GB | 42 | 0 |
| Nemotron W 4b MagLight 0.1 | 128K / 9.2 GB | 4 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than IntervitensInc/intv-mimi-sus .
Rank the Intv Mimi Sus Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124