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NeuralBeagle14 7B GGUF by second-state

 »  All LLMs  »  second-state  »  NeuralBeagle14 7B GGUF   URL Share it on

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Argilla/distilabeled-marcoro14...   Autotrain compatible Base model:mlabonne/neuralbeag... Base model:quantized:mlabonne/...   Conversational   Dpo   Fblgit/una-thebeagle-7b-v1   Gguf   Lazymergekit   Merge   Mergekit   Mistral   Q2   Quantized   Region:us   Rlhf
Model Card on HF 🤗: https://huggingface.co/second-state/NeuralBeagle14-7B-GGUF 

NeuralBeagle14 7B GGUF Benchmarks

LLME Score: 0.1701
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralBeagle14 7B GGUF (second-state/NeuralBeagle14-7B-GGUF)

NeuralBeagle14 7B GGUF Parameters and Internals

Model Type 
mistral
Additional Notes 
Model follows ChatML format, but does not have the special tokens for ChatML.
LLM NameNeuralBeagle14 7B GGUF
Repository 🤗https://huggingface.co/second-state/NeuralBeagle14-7B-GGUF 
Model NameNeuralBeagle14 7B
Model CreatorMaxime Labonne
Base Model(s)  NeuralBeagle14 7B   mlabonne/NeuralBeagle14-7B
Model Size7b
Required VRAM2.7 GB
Updated2024-12-26
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
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Vocabulary Size32000
Torch Data Typefloat16

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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