Starling LM 7B Alpha AWQ by TheBloke

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  Arxiv:2306.02231   4-bit   Autotrain compatible   Awq Base model:berkeley-nest/starl... Base model:quantized:berkeley-...   Conversational   Dataset:berkeley-nest/nectar   En   Mistral   Quantized   Region:us   Reward model   Rlaif   Rlhf   Safetensors

Starling LM 7B Alpha AWQ 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 AWQ Parameters and Internals

LLM NameStarling LM 7B Alpha AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Starling-LM-7B-alpha-AWQ 
Model NameStarling LM 7B Alpha
Model CreatorBerkeley-Nest
Base Model(s)  Starling LM 7B Alpha   berkeley-nest/Starling-LM-7B-alpha
Model Size7b
Required VRAM4.2 GB
Updated2024-09-16
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length8192
Model Max Length8192
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typefloat16
Starling LM 7B Alpha AWQ (TheBloke/Starling-LM-7B-alpha-AWQ)

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

Rank the Starling LM 7B Alpha AWQ Capabilities

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