What are the hardware requirements for Finchat298 Mistral7B FT 650?

Finchat298 Mistral7B FT 650 requires approximately 4.1 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 Finchat298 Mistral7B FT 650 and how large is it?

Finchat298 Mistral7B FT 650 is developed by gkMSDA, a model with 7.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Finchat298 Mistral7B FT 650?

Finchat298 Mistral7B FT 650 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Finchat298 Mistral7B FT 650 by gkMSDA — VRAM 4.1GB, 32K context

Name: Finchat298 Mistral7B FT 650
Author: gkMSDA

Finchat298 Mistral7B FT 650 is an open-source language model by gkMSDA. Features: 7.5b LLM, VRAM: 4.1GB, Context: 32K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4-bit Bitsandbytes Endpoints compatible Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/gkMSDA/Finchat298-Mistral7B-FT-650

Finchat298 Mistral7B FT 650 Parameters and Internals

LLM Name	Finchat298 Mistral7B FT 650
Repository 🤗	https://huggingface.co/gkMSDA/Finchat298-Mistral7B-FT-650
Model Size	7.5b
Required VRAM	4.1 GB
Updated	2026-08-08
Maintainer	gkMSDA
Model Type	mistral
Model Files	4.1 GB
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.42.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Finchat298 Mistral7B FT 650 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 Finchat298 Mistral7B FT 650

Best Alternatives	Context / RAM	Downloads	Likes
ClimateChat	32K / 15 GB	17	2
Finchat298 Mistral7B FT3	32K / 4.1 GB	5	0
...iceday Finetune Articles V4 V3	32K / 4.7 GB	7	0
Technical Analysis Unsloth V3	32K / 4.1 GB	6	3
0dAI 7.5B V2 4bpw	32K / 3.8 GB	14	3
0dAI 7.5B V2 8bpw	32K / 7.3 GB	14	0
Mistral MoE Lora	32K / 4.1 GB	4	1
Legislinho	32K / 4.1 GB	5	2
Mymodel V2	32K / 30.1 GB	6	0
Mymodel V1	32K / 59 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than gkMSDA/Finchat298-Mistral7B-FT-650.