What are the hardware requirements for NeuralBeagle14 7B AWQ?

NeuralBeagle14 7B AWQ requires approximately 4.2 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 AWQ and how large is it?

NeuralBeagle14 7B AWQ is developed by TheBloke, 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 AWQ?

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

NeuralBeagle14 7B AWQ by TheBloke — VRAM 4.2GB, 32K context

Name: NeuralBeagle14 7B AWQ
Author: TheBloke

NeuralBeagle14 7B AWQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Argilla/distilabeled-marcoro14... Awq Base model:mlabonne/neuralbeag... Base model:quantized:mlabonne/... Conversational Dpo Fblgit/una-thebeagle-7b-v1 Lazymergekit Merge Mergekit Mistral Quantized Region:us Rlhf Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/NeuralBeagle14-7B-AWQ

NeuralBeagle14 7B AWQ Parameters and Internals

LLM Name	NeuralBeagle14 7B AWQ
Repository 🤗	https://huggingface.co/TheBloke/NeuralBeagle14-7B-AWQ
Model Name	NeuralBeagle14 7B
Model Creator	Maxime Labonne
Base Model(s)	NeuralBeagle14 7B mlabonne/NeuralBeagle14-7B
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-07-28
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float16

Rank the NeuralBeagle14 7B AWQ capabilities

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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

Best Alternatives to NeuralBeagle14 7B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	6	0
Mistral 7B Instruct V0.2 AWQ	32K / 4.2 GB	298182	52
Mistral 7B Instruct V0.3 AWQ	32K / 4.2 GB	5633	10
Mistral 7B Instruct V0.1 AWQ	32K / 4.2 GB	15461	2
Ghost 7B Alpha AWQ	32K / 4.2 GB	14	0
Tess 7B V2.0 AWQ	32K / 4.2 GB	1	1
...reeze 7B 32K Instruct V1.0 AWQ	32K / 4.7 GB	9	0
Breeze 7B Instruct V1.0 AWQ	32K / 4.6 GB	5	0
NSFW DPO Noromaid 7B AWQ	32K / 4.2 GB	206	2
OpenHermes 2.5 Mistral 7B AWQ	32K / 4.2 GB	23691	21

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