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 | 2024-12-27 |
| 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 |
|---|---|---|---|
| SeQwence 14Bv3 | 128K / 29.5 GB | 44 | 2 |
| EVA Meissa Mini Pro V2 | 64K / 29.7 GB | 14 | 0 |
| RQwen V0.2 | 32K / 29.7 GB | 42 | 1 |
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
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 40303 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227