What are the hardware requirements for Mahou 1.2a Mistral 7B?

Mahou 1.2a Mistral 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 Mahou 1.2a Mistral 7B and how large is it?

Mahou 1.2a Mistral 7B is developed by flammenai, 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 Mahou 1.2a Mistral 7B perform on standard benchmarks?

Mahou 1.2a Mistral 7B has the following published scores: MMLU 64.73. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mahou 1.2a Mistral 7B by flammenai — VRAM 14.4GB, 32K context

Name: Mahou 1.2a Mistral 7B
Author: flammenai

Mahou 1.2a Mistral 7B is an open-source language model by flammenai. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19, Arc: 68.8, HellaSwag: 88.1, MMLU: 64.7, GSM8K: 63.6.

Base model:flammenai/flammen27... Base model:quantized:flammenai... Dataset:flammenai/flamemix-dpo... Dataset:flammenai/grill-prepro... Dataset:flammenai/grill-prepro... Endpoints compatible Gguf Mistral Q3 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/flammenai/Mahou-1.2a-mistral-7B

Mahou 1.2a Mistral 7B Parameters and Internals

Model Type

conversational, roleplay, chat

Additional Notes

Fine-tuned from flammen.ai conversational data to improve comprehension and coherence. Uses ChatML and roleplay formats.

Training Details

Data Sources:

flammenai/FlameMix-DPO-v1, flammenai/Grill-preprod-v1_chatML, flammenai/Grill-preprod-v2_chatML

Methodology:

Fine-tuned with Direct Preference Optimization (DPO) using LoRA configurations.

Hardware Used:

A100 on Google Colab

Model Architecture:

LoRA configuration with specific modules targeted.

Input Output

Input Format:

ChatML format

LLM Name	Mahou 1.2a Mistral 7B
Repository 🤗	https://huggingface.co/flammenai/Mahou-1.2a-mistral-7B
Base Model(s)	Flammen27 Mistral 7B flammenai/flammen27-mistral-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-29
Maintainer	flammenai
Model Type	mistral
Model Files	3.5 GB 4.4 GB 5.1 GB 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
GGUF Quantization	Yes
Quantization Type	q3\|gguf\|q4_k\|q5_k
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mahou 1.2a Mistral 7B 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 Mahou 1.2a Mistral 7B

Model	Likes	Downloads	VRAM
Mahou 1.2a Mistral 7B AWQ	1	6	4 GB

Best Alternatives to Mahou 1.2a Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	35	3
MegaBeam Mistral 7B 300K Gguf	282K / 5 GB	34	3
Backrooms Mistral 7B 10e	32K / 14.5 GB	128	0
Mistral 7B Instruct V0.2.gguf	32K / 14.5 GB	17	3
Mistral 7B Instruct V0.2 GGUF	32K / 4.4 GB	26	2
...andle Mistral 7B Instruct V0.2	32K / 14.4 GB	207	0
...andle Dolphin 2.2.1 Mistral 7B	32K / 14.4 GB	89	0
Boptruth Agatha 7B	32K / 14.4 GB	129	0
Tamil Mistral 7B Instruct V0.1	32K / 14.8 GB	350	14
... Noromaid NSFW Mistral 7B GGUF	32K / 4.1 GB	35298	124

Note: green Score (e.g. "73.2") means that the model is better than flammenai/Mahou-1.2a-mistral-7B.