What are the hardware requirements for Bophades Mistral Truthy DPO 7B?

Bophades Mistral Truthy DPO 7B 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 Bophades Mistral Truthy DPO 7B and how large is it?

Bophades Mistral Truthy DPO 7B is developed by nbeerbower, 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 Bophades Mistral Truthy DPO 7B perform on standard benchmarks?

Bophades Mistral Truthy DPO 7B has the following published scores: MMLU 64.73. Compare against reference models on this page or on the LLM Explorer leaderboards.

Bophades Mistral Truthy DPO 7B by nbeerbower — VRAM 14.4GB, 32K context

Name: Bophades Mistral Truthy DPO 7B
Author: nbeerbower

Bophades Mistral Truthy DPO 7B is an open-source language model by nbeerbower. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 73.4, HellaSwag: 89.3, MMLU: 64.7, GSM8K: 69.4.

Base model:finetune:nbeerbower... Base model:nbeerbower/bophades... Dataset:jondurbin/truthy-dpo-v... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/nbeerbower/bophades-mistral-truthy-DPO-7B

Bophades Mistral Truthy DPO 7B Parameters and Internals

Model Type

CAUSAL_LM

Additional Notes

Fine-tuned using Direct Preference Optimization as per methodologies from Towards Data Science article.

Training Details

Data Sources:

jondurbin/truthy-dpo-v0.1

Methodology:

Finetuned using an A100 on Google Colab.

Context Length:

1024

Hardware Used:

A100

Model Architecture:

LoRA

LLM Name	Bophades Mistral Truthy DPO 7B
Repository 🤗	https://huggingface.co/nbeerbower/bophades-mistral-truthy-DPO-7B
Base Model(s)	Bophades V2 Mistral 7B nbeerbower/bophades-v2-mistral-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-30
Maintainer	nbeerbower
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Bophades Mistral Truthy DPO 7B 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

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Astral 256K 7B	250K / 14.4 GB	9	0
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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/bophades-mistral-truthy-DPO-7B.