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Starling LM 7B Beta 8bit by mlx-community

 »  All LLMs  »  mlx-community  »  Starling LM 7B Beta 8bit   URL Share it on

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  8bit   Autotrain compatible   Conversational   Dataset:berkeley-nest/nectar   En   Endpoints compatible   Mistral   Mlx   Quantized   Region:us   Reward model   Rlaif   Rlhf   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Starling-LM-7B-beta-8bit 

Starling LM 7B Beta 8bit Benchmarks

LLME Score: 0.17724
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 8bit (mlx-community/Starling-LM-7B-beta-8bit)

Starling LM 7B Beta 8bit Parameters and Internals

Model Type 
reward model, RLHF, RLAIF, mlx
Additional Notes 
This model was converted to MLX format using mlx-lm.
Supported Languages 
en (high)
LLM NameStarling LM 7B Beta 8bit
Repository 🤗https://huggingface.co/mlx-community/Starling-LM-7B-beta-8bit 
Base Model(s)  Starling LM 7B Beta   Nexusflow/Starling-LM-7B-beta
Model Size7b
Required VRAM7.9 GB
Updated2025-02-22
Maintainermlx-community
Model Typemistral
Model Files  5.4 GB: 1-of-2   2.5 GB: 2-of-2
Supported Languagesen
Quantization Type8bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.0
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Starling-LM-7B-beta-8bit.

Rank the Starling LM 7B Beta 8bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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