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NeuralBeagle14 7B GPTQ by TheBloke

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  4-bit Argilla/distilabeled-marcoro14...   Autotrain compatible Base model:mlabonne/neuralbeag... Base model:quantized:mlabonne/...   Conversational   Dpo   Fblgit/una-thebeagle-7b-v1   Gptq   Lazymergekit   Merge   Mergekit   Mistral   Quantized   Region:us   Rlhf   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/NeuralBeagle14-7B-GPTQ 

NeuralBeagle14 7B GPTQ Benchmarks

LLME Score: 0.17283
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralBeagle14 7B GPTQ (TheBloke/NeuralBeagle14-7B-GPTQ)

NeuralBeagle14 7B GPTQ Parameters and Internals

LLM NameNeuralBeagle14 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/NeuralBeagle14-7B-GPTQ 
Model NameNeuralBeagle14 7B
Model CreatorMaxime Labonne
Base Model(s)  NeuralBeagle14 7B   mlabonne/NeuralBeagle14-7B
Model Size7b
Required VRAM4.2 GB
Updated2024-12-26
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/NeuralBeagle14-7B-GPTQ.

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Release v20241227
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