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Starling LM 7B Beta 4bit by mlx-community

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Starling LM 7B Beta 4bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 4.3GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4bit   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Mistral   Mlx   Quantized   Region:us   Reward model   Rlaif   Rlhf   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Starling-LM-7B-beta-4bit 

Starling LM 7B Beta 4bit Benchmarks

LLME Score: 0.12584
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Starling LM 7B Beta 4bit (mlx-community/Starling-LM-7B-beta-4bit)
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Starling LM 7B Beta 4bit Parameters and Internals

Model Type 
reward model, RLHF, RLAIF
Additional Notes 
This model was converted to MLX format using mlx-lm version 0.5.0.
Supported Languages 
English ()
LLM NameStarling LM 7B Beta 4bit
Repository 🤗https://huggingface.co/mlx-community/Starling-LM-7B-beta-4bit 
Base Model(s)  Starling LM 7B Beta   Nexusflow/Starling-LM-7B-beta
Model Size7b
Required VRAM4.3 GB
Updated2026-03-29
Maintainermlx-community
Model Typemistral
Model Files  4.3 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typebfloat16

Best Alternatives to Starling LM 7B Beta 4bit

Best Alternatives
Context / RAM
Downloads
Likes
...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB41
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB11
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB35143322
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1711
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB41
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1275236
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Starling-LM-7B-beta-4bit.

Rank the Starling LM 7B Beta 4bit Capabilities

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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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