What are the hardware requirements for Mistral 4B FT 2?

Mistral 4B FT 2 requires approximately 7.5 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 4B FT 2 and how large is it?

Mistral 4B FT 2 is developed by fhai50032, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 4B FT 2 perform on standard benchmarks?

Mistral 4B FT 2 has the following published scores: MMLU 25.46. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 4B FT 2 by fhai50032 — VRAM 7.5GB, 32K context

Name: Mistral 4B FT 2
Author: fhai50032

Mistral 4B FT 2 is an open-source language model by fhai50032. Features: 4b LLM, VRAM: 7.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.16, Arc: 25.9, HellaSwag: 39.6, MMLU: 25.5, GSM8K: 2.9.

Arxiv:1910.09700 Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/fhai50032/Mistral-4B-FT-2

Mistral 4B FT 2 Benchmarks

ARC: 25.94 vs 96.7 (so35)^-73.2%

HellaSwag: 39.63 vs 95.3 (gpt4)^-58.4%

MMLU: 25.46 vs 88.3 (so35)^-71.2%

GSM8K: 2.88 vs 96.4 (so35)^-97%

LLME Score: 0.1635

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral 4B FT 2 (fhai50032/Mistral-4B-FT-2)

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Mistral 4B FT 2 Parameters and Internals

LLM Name	Mistral 4B FT 2
Repository 🤗	https://huggingface.co/fhai50032/Mistral-4B-FT-2
Model Size	4b
Required VRAM	7.5 GB
Updated	2026-07-05
Maintainer	fhai50032
Model Type	mistral
Model Files	4.9 GB: 1-of-2 2.6 GB: 2-of-2
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Best Alternatives to Mistral 4B FT 2

Best Alternatives	Context / RAM	Downloads	Likes
GenomeOcean 4B V1.2	32K / 8.5 GB	28	0
Ministral 4B Fork	32K / 9 GB	5	0
Ministral 4B Instruct	32K / 8.9 GB	100	8
MistralPh3 4B Slerp	4K / 7.8 GB	6	0
...mail Search Phi3 Vllm Model 4b	4K / 2.3 GB	7	0
Athena CodePhi 4B 4K V0.1	4K / 7.6 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than fhai50032/Mistral-4B-FT-2.

Rank the Mistral 4B FT 2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Mistral 4B FT 2 by fhai50032

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Mistral 4B FT 2 Benchmarks

Mistral 4B FT 2 Parameters and Internals

Best Alternatives to Mistral 4B FT 2

Rank the Mistral 4B FT 2 Capabilities

What open-source LLMs or SLMs are you in search of? 54990 in total.