What are the hardware requirements for UNA TheBeagle 7B V1 GPTQ?

UNA TheBeagle 7B V1 GPTQ 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 UNA TheBeagle 7B V1 GPTQ and how large is it?

UNA TheBeagle 7B V1 GPTQ 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 UNA TheBeagle 7B V1 GPTQ?

UNA TheBeagle 7B V1 GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

UNA TheBeagle 7B V1 GPTQ by TheBloke — VRAM 4.2GB, 32K context

Name: UNA TheBeagle 7B V1 GPTQ
Author: TheBloke

UNA TheBeagle 7B V1 GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: cc-by-nc-nd-4.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:fblgit/una-thebeagl... Base model:quantized:fblgit/un... Dataset:jondurbin/bagel-v0.3 Generated from trainer Gptq Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/UNA-TheBeagle-7B-v1-GPTQ

UNA TheBeagle 7B V1 GPTQ Parameters and Internals

Model Type

mistral

Additional Notes

The model scored #1 on the HF Leaderboard with impressive performance scores.

Training Details

Data Sources:

jondurbin/bagel-v0.3

Input Output

Input Format:

{prompt}

LLM Name	UNA TheBeagle 7B V1 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/UNA-TheBeagle-7B-v1-GPTQ
Model Name	UNA TheBeagle 7B v1
Model Creator	FBL
Base Model(s)	UNA TheBeagle 7B V1 fblgit/UNA-TheBeagle-7b-v1
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-05-10
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	cc-by-nc-nd-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the UNA TheBeagle 7B V1 GPTQ 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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...enHermes 2.5 Mistral 7B Marlin	32K / 4.1 GB	6	2
Zephyr 7B Beta Marlin	32K / 4.1 GB	16	0
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
Cosmosage V2	32K / 4.2 GB	8	4
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/UNA-TheBeagle-7B-v1-GPTQ.