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Starling LM 7B Beta 8bit by mlx-community

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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

Starling LM 7B Beta 8bit Benchmarks

LLME Score: 0.20719
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 Parameters and Internals

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
Updated2024-09-07
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
Starling LM 7B Beta 8bit (mlx-community/Starling-LM-7B-beta-8bit)

Best Alternatives to Starling LM 7B Beta 8bit

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Context / RAM
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Likes
...al Nemo Instruct 2407 Bnb 4bit1000K / 8.3 GB5035821
...istral Nemo Base 2407 Bnb 4bit1000K / 8.3 GB118597
...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB291
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB91
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB5761
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB50
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB5964514
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB2477912
Mistral V0.3 7B ORPO32K / 14.5 GB971
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB381
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 v2024072803
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