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Berkeley Nest Starling LM 7B Alpha 4 Bit Gptq by SotiriosKastanas

 »  All LLMs  »  SotiriosKastanas  »  Berkeley Nest Starling LM 7B Alpha 4 Bit Gptq   URL Share it on

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/SotiriosKastanas/berkeley-nest-Starling-LM-7B-alpha-4-bit-gptq 

Berkeley Nest Starling LM 7B Alpha 4 Bit Gptq Benchmarks

LLME Score: 0.17603
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Berkeley Nest Starling LM 7B Alpha 4 Bit Gptq (SotiriosKastanas/berkeley-nest-Starling-LM-7B-alpha-4-bit-gptq)

Berkeley Nest Starling LM 7B Alpha 4 Bit Gptq Parameters and Internals

LLM NameBerkeley Nest Starling LM 7B Alpha 4 Bit Gptq
Repository 🤗https://huggingface.co/SotiriosKastanas/berkeley-nest-Starling-LM-7B-alpha-4-bit-gptq 
Model Size7b
Required VRAM4.2 GB
Updated2025-06-01
MaintainerSotiriosKastanas
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<|end_of_turn|>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than SotiriosKastanas/berkeley-nest-Starling-LM-7B-alpha-4-bit-gptq.

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