What are the hardware requirements for NeuralBeagle 11B?

NeuralBeagle 11B requires approximately 21.4 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 NeuralBeagle 11B and how large is it?

NeuralBeagle 11B is developed by vicgalle, a model with 11b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does NeuralBeagle 11B perform on standard benchmarks?

NeuralBeagle 11B has the following published scores: MMLU 63.8. Compare against reference models on this page or on the LLM Explorer leaderboards.

NeuralBeagle 11B by vicgalle — VRAM 21.4GB, 32K context

Name: NeuralBeagle 11B
Author: vicgalle

NeuralBeagle 11B is an open-source language model by vicgalle. Features: 11b LLM, VRAM: 21.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 73.3, HellaSwag: 87.6, MMLU: 63.8, GSM8K: 59.

11b Base model:finetune:vicgalle/f... Base model:vicgalle/franken-be... Conversational Dataset:argilla/distilabel-int... Dpo Endpoints compatible Merge Mistral Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vicgalle/NeuralBeagle-11B

NeuralBeagle 11B Parameters and Internals

Model Type

text-generation

Additional Notes

DPO'd from vicgalle/franken-Beagle-11B, a Beagle-like model upscaled to 11B. It is a frankenmerge model created using mergekit. Then, we applied DPO over a high-quality preference dataset.

LLM Name	NeuralBeagle 11B
Repository 🤗	https://huggingface.co/vicgalle/NeuralBeagle-11B
Base Model(s)	Franken Beagle 11B vicgalle/franken-Beagle-11B
Model Size	11b
Required VRAM	21.4 GB
Updated	2026-08-01
Maintainer	vicgalle
Model Type	mistral
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 1.7 GB: 5-of-5
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the NeuralBeagle 11B 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

Best Alternatives to NeuralBeagle 11B

Best Alternatives	Context / RAM	Downloads	Likes
Starling LM 11B Alpha	32K / 21.4 GB	96	15
...elik V2.3 Instruct MedIT Merge	32K / 22.3 GB	1592	2
Normistral 11B Translate	32K / 22.8 GB	193	1
ConfigurableBeagle 11B	32K / 21.4 GB	8206	3
CarbonBeagle 11B	32K / 21.4 GB	8331	9
...elik V2.3 Instruct Llama Prune	32K / 15.4 GB	1387	0
CarbonBeagle 11B Truthy	32K / 21.4 GB	7713	10
MistralLite 11B	32K / 21.4 GB	1337	2
Mistral 11B Instruct V0.1	32K / 42.9 GB	169	2
Mistral Evolved 11B V0.1	32K / 22.3 GB	58	33

Note: green Score (e.g. "73.2") means that the model is better than vicgalle/NeuralBeagle-11B.