What are the hardware requirements for Vinallama Mental Health Q4?

Vinallama Mental Health Q4 requires approximately 1.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vinallama Mental Health Q4 and how large is it?

Vinallama Mental Health Q4 is developed by chillies, a model with 2.7b 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 Vinallama Mental Health Q4?

Vinallama Mental Health Q4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vinallama Mental Health Q4 by chillies — VRAM 1.7GB

Name: Vinallama Mental Health Q4
Author: chillies

Vinallama Mental Health Q4 is an open-source language model by chillies. Features: 2.7b LLM, VRAM: 1.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.12.

Base model:quantized:vilm/vina... Base model:vilm/vinallama-2.7b... En Endpoints compatible Gguf Llama Q4 Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/chillies/vinallama-mental-health-q4

Vinallama Mental Health Q4 Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

Training Details

Methodology:

This llama model was trained 2x faster using Unsloth and Huggingface's TRL library.

LLM Name	Vinallama Mental Health Q4
Repository 🤗	https://huggingface.co/chillies/vinallama-mental-health-q4
Base Model(s)	vilm/vinallama-2.7b-chat vilm/vinallama-2.7b-chat
Model Size	2.7b
Required VRAM	1.7 GB
Updated	2026-07-13
Maintainer	chillies
Model Type	llama
Model Files	1.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4
Model Architecture	AutoModel
License	apache-2.0

Rank the Vinallama Mental Health Q4 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 Vinallama Mental Health Q4

Best Alternatives	Context / RAM	Downloads	Likes
Mamba2 2.7B	0K / 5.4 GB	5330	23
Cerebras GPT 2.7B	0K / 10.7 GB	1043	47

Note: green Score (e.g. "73.2") means that the model is better than chillies/vinallama-mental-health-q4.