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

UNA TheBeagle 7B V1 requires approximately 14.4 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 and how large is it?

UNA TheBeagle 7B V1 is developed by fblgit, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does UNA TheBeagle 7B V1 perform on standard benchmarks?

UNA TheBeagle 7B V1 has the following published scores: MMLU 63.48. Compare against reference models on this page or on the LLM Explorer leaderboards.

UNA TheBeagle 7B V1 by fblgit — VRAM 14.4GB, 32K context

Name: UNA TheBeagle 7B V1
Author: fblgit

UNA TheBeagle 7B V1 is an open-source language model by fblgit. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-nd-4.0, LLM Explorer Score: 0.17, Arc: 73, HellaSwag: 88, MMLU: 63.5, GSM8K: 66.7.

Dataset:jondurbin/bagel-v0.3 Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1

UNA TheBeagle 7B V1 Parameters and Internals

Additional Notes

UNA applied over a set of curated DPO pairs.

Training Details

Data Sources:

jondurbin/bagel-v0.3

Methodology:

Applied UNA thru the perceptrons at a speed of 3.5e-7

Input Output

Input Format:

Vanilla version of the bagel training code, flexible with prompt formats

Performance Tips:

A good model should generalize with different prompt formats.

LLM Name	UNA TheBeagle 7B V1
Repository 🤗	https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-03
Maintainer	fblgit
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
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 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

Quantized Models of the UNA TheBeagle 7B V1

Model	Likes	Downloads	VRAM
UNA TheBeagle 7B V1 GGUF	20	380	2 GB
UNA TheBeagle 7B V1 GPTQ	3	9	4 GB
UNA TheBeagle 7B V1 AWQ	1	5	4 GB

Best Alternatives to UNA TheBeagle 7B V1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

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