What are the hardware requirements for NeuralBeagle14 7B GGUF?

NeuralBeagle14 7B GGUF requires approximately 2.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed NeuralBeagle14 7B GGUF and how large is it?

NeuralBeagle14 7B GGUF is developed by second-state, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate NeuralBeagle14 7B GGUF?

NeuralBeagle14 7B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NeuralBeagle14 7B GGUF by second-state — VRAM 2.7GB, 32K context

Name: NeuralBeagle14 7B GGUF
Author: second-state

NeuralBeagle14 7B GGUF is an open-source language model by second-state. Features: 7b LLM, VRAM: 2.7GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Argilla/distilabeled-marcoro14... 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 Parameters and Internals

Model Type

mistral

Additional Notes

Model follows ChatML format, but does not have the special tokens for ChatML.

LLM Name	NeuralBeagle14 7B GGUF
Repository 🤗	https://huggingface.co/second-state/NeuralBeagle14-7B-GGUF
Model Name	NeuralBeagle14 7B
Model Creator	Maxime Labonne
Base Model(s)	NeuralBeagle14 7B mlabonne/NeuralBeagle14-7B
Model Size	7b
Required VRAM	2.7 GB
Updated	2026-08-03
Maintainer	second-state
Model Type	mistral
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 Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.2
Vocabulary Size	32000
Torch Data Type	float16

Rank the NeuralBeagle14 7B GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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