What are the hardware requirements for Touch Grass V0?

Touch Grass V0 requires approximately 6.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Touch Grass V0 and how large is it?

Touch Grass V0 is developed by heath0xFF, a model with 3b 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 Touch Grass V0?

Touch Grass V0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Touch Grass V0 by heath0xFF — VRAM 6.2GB

Name: Touch Grass V0
Author: heath0xFF

Touch Grass V0 is an open-source language model by heath0xFF. Features: 3b LLM, VRAM: 6.2GB, License: other, LLM Explorer Score: 0.28.

Agents Base model:finetune:liquidai/d... Base model:liquidai/d1-3b Classification Conversational Custom code D1 Decision-model En Endpoints compatible Experimental Image-text-to-text Lfm2 vl Lora Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/heath0xFF/touch-grass-v0

Touch Grass V0 Parameters and Internals

LLM Name	Touch Grass V0
Repository 🤗	https://huggingface.co/heath0xFF/touch-grass-v0
Base Model(s)	D1 3B LiquidAI/d1-3B
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-10-22
Maintainer	heath0xFF
Model Type	lfm2_vl
Model Files	6.2 GB
Supported Languages	en
Model Architecture	Lfm2VlForConditionalGeneration
License	other
Transformers Version	5.19.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|pad\|>

Rank the Touch Grass V0 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 Touch Grass V0

Best Alternatives	Context / RAM	Downloads	Likes
D1 3B	0K / 6.2 GB	9088	260
D1 3B W8a8	0K / 3.8 GB	151	6
D1 3B ONNX	0K / GB	65	1
LFM2.5 VL 3B	0K / 6.2 GB	0	73
LFM2.5 VL 3B MLX Bf16	0K / 6.2 GB	217	14
LFM2.5 VL 3B	0K / 6.2 GB	259	2
LFM2 VL 3B	0K / 6 GB	12342	140
Alpha Sys 1 3B	0K / 6.2 GB	35	1
... 3B Ffn8192 Int4 MLX Optimized	0K / 1.6 GB	106	1
...FM2.5 VL 3B MLX Mixed V6p6b4e4	0K / 2 GB	68	2

Note: green Score (e.g. "73.2") means that the model is better than heath0xFF/touch-grass-v0.