What are the hardware requirements for Mistral 7B V0.1 Flashback V2?

Mistral 7B V0.1 Flashback V2 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 Mistral 7B V0.1 Flashback V2 and how large is it?

Mistral 7B V0.1 Flashback V2 is developed by timpal0l, 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 Mistral 7B V0.1 Flashback V2 perform on standard benchmarks?

Mistral 7B V0.1 Flashback V2 has the following published scores: MMLU 59.98. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B V0.1 Flashback V2 by timpal0l — VRAM 14.4GB, 32K context

Name: Mistral 7B V0.1 Flashback V2
Author: timpal0l

Mistral 7B V0.1 Flashback V2 is an open-source language model by timpal0l. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: mit, LLM Explorer Score: 0.12, Arc: 57.2, HellaSwag: 80.7, MMLU: 60, GSM8K: 29.4.

Conversational Da Deploy:azure En Endpoints compatible Flashback Mistral Model-index No Pretrained Region:us Safetensors Sharded Sv Tensorflow Web

Model Card on HF 🤗: https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2

Mistral 7B V0.1 Flashback V2 Parameters and Internals

Model Type

text generation

Supported Languages

swedish (proficient), english (basic), norwegian (basic), danish (basic)

Training Details

Data Sources:

251,233 forum threads from https://www.flashback.org

Data Volume:

Roughly 40GB of text

Methodology:

Full finetune for one epoch

LLM Name	Mistral 7B V0.1 Flashback V2
Repository 🤗	https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-01
Maintainer	timpal0l
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	sv en no da
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B V0.1 Flashback V2 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 Mistral 7B V0.1 Flashback V2

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 timpal0l/Mistral-7B-v0.1-flashback-v2.