Starling LM 7B Alpha GGUF by second-state

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  Autotrain compatible Base model:berkeley-nest/starl... Base model:quantized:berkeley-...   Dataset:berkeley-nest/nectar   En   Gguf   Mistral   Q2   Quantized   Region:us   Reward model   Rlaif   Rlhf

Starling LM 7B Alpha GGUF Benchmarks

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 Alpha GGUF Parameters and Internals

LLM NameStarling LM 7B Alpha GGUF
Repository ๐Ÿค—https://huggingface.co/second-state/Starling-LM-7B-alpha-GGUF 
Model NameStarling LM 7B Alpha
Model CreatorBerkeley-Nest
Base Model(s)  Starling LM 7B Alpha   berkeley-nest/Starling-LM-7B-alpha
Model Size7b
Required VRAM2.7 GB
Updated2024-09-16
Maintainersecond-state
Model Typemistral
Model Files  2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB   5.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.35.0
Vocabulary Size32002
Torch Data Typebfloat16
Starling LM 7B Alpha GGUF (second-state/Starling-LM-7B-alpha-GGUF)

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Note: green Score (e.g. "73.2") means that the model is better than second-state/Starling-LM-7B-alpha-GGUF.

Rank the Starling LM 7B Alpha GGUF Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803