Autotrain compatible Base model:arcee-ai/supernova-... Base model:finetune:arcee-ai/s... Conversational Endpoints compatible Merge Mergekit Mlx Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/SuperNova-Medius-bf16
SuperNova Medius Bf16 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)
SuperNova Medius Bf16 Parameters and Internals
| LLM Name | SuperNova Medius Bf16 |
| Repository 🤗 | https://huggingface.co/mlx-community/SuperNova-Medius-bf16 |
| Base Model(s) | |
| Model Size | 14.8b |
| Required VRAM | 29.6 GB |
| Updated | 2025-09-23 |
| Maintainer | mlx-community |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.0.dev0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 152064 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to SuperNova Medius Bf16
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Viper Coder V1.7 Vsm6 | 986K / 29.7 GB | 5 | 6 |
| Cheng 2 Ingredient4 | 986K / 29.7 GB | 6 | 0 |
| ...acilla Vipercoderv1.7vsm6 0308 | 986K / 29.7 GB | 6 | 0 |
| Temp Model For 2 Mini 006 | 986K / 29.7 GB | 8 | 0 |
| Tempmotacilla Cinerea 0308 | 128K / 29.7 GB | 6 | 2 |
| ...irtuoso Small V2 Tensopolis V1 | 128K / 29.7 GB | 4 | 1 |
| Merge Model 20250308 2 | 128K / 29.7 GB | 5 | 0 |
| Viper Coder Hybrid V1.3 | 128K / 29.7 GB | 4 | 9 |
| Tempesthenno Kto 0205 Ckpt80 | 128K / 29.6 GB | 4 | 3 |
| Miisce One | 128K / 29.7 GB | 3 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SuperNova-Medius-bf16 .
Rank the SuperNova Medius Bf16 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124