What are the hardware requirements for Miqu 6B Truthy?

Miqu 6B Truthy requires approximately 11.3 GB of VRAM and supports a context window of 31K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Miqu 6B Truthy and how large is it?

Miqu 6B Truthy is developed by vicgalle, a model with 6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Miqu 6B Truthy perform on standard benchmarks?

Miqu 6B Truthy has the following published scores: MMLU 27.04. Compare against reference models on this page or on the LLM Explorer leaderboards.

Miqu 6B Truthy by vicgalle — VRAM 11.3GB, 31K context

Name: Miqu 6B Truthy
Author: vicgalle

Miqu 6B Truthy is an open-source language model by vicgalle. Features: 6b LLM, VRAM: 11.3GB, Context: 31K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 27.7, HellaSwag: 26.7, MMLU: 27.

Conversational Dataset:jondurbin/truthy-dpo-v... Endpoints compatible Llama Miqu Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vicgalle/Miqu-6B-truthy

Miqu 6B Truthy Parameters and Internals

Model Type

text-generation

Additional Notes

Miqu-6B-truthy model aims to experiment with a truthfully oriented text generation approach, standing distinct from typical models.

LLM Name	Miqu 6B Truthy
Repository 🤗	https://huggingface.co/vicgalle/Miqu-6B-truthy
Model Size	6b
Required VRAM	11.3 GB
Updated	2026-06-01
Maintainer	vicgalle
Model Type	llama
Model Files	4.7 GB: 1-of-3 4.7 GB: 2-of-3 1.9 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32764
Model Max Length	32764
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Miqu 6B Truthy 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 vicgalle/Miqu-6B-truthy.