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SuperNova Medius Bf16 by mlx-community

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SuperNova Medius Bf16 is an open-source language model by mlx-community. Features: 14.8b LLM, VRAM: 29.6GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

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

LLME Score: 0.15951
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SuperNova Medius Bf16 (mlx-community/SuperNova-Medius-bf16)
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SuperNova Medius Bf16 Parameters and Internals

LLM NameSuperNova Medius Bf16
Repository 🤗https://huggingface.co/mlx-community/SuperNova-Medius-bf16 
Base Model(s)  SuperNova Medius   arcee-ai/SuperNova-Medius
Model Size14.8b
Required VRAM29.6 GB
Updated2026-03-15
Maintainermlx-community
Model Typeqwen2
Model Files  5.3 GB: 1-of-6   5.4 GB: 2-of-6   5.4 GB: 3-of-6   5.2 GB: 4-of-6   5.4 GB: 5-of-6   2.9 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to SuperNova Medius Bf16

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5128K / 15.2 GB50
A.X 4.0128K / 144.4 GB539173
Palmyra Mini Thinking A128K / 3.5 GB40726
Palmyra Mini Thinking B128K / 3.5 GB2527
XJJ DeepSeek R1 COT128K / 0.1 GB50
C3D4e5F6128K / 1 GB6300
Qwerty2 05bita128K / 1 GB5690
B2C3D4e5128K / 1 GB500
Mxbai Rerank Large V232K / 3.1 GB6658127
Arcee Spark32K / 15.2 GB54087
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! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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