What are the hardware requirements for Halluci Mate V2a?

Halluci Mate V2a requires approximately 0.9 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 Halluci Mate V2a and how large is it?

Halluci Mate V2a is developed by jspaulsen, a model with 442.5m 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 Halluci Mate V2a?

Halluci Mate V2a is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Halluci Mate V2a by jspaulsen — VRAM 0.9GB, 32K context

Name: Halluci Mate V2a
Author: jspaulsen

Halluci Mate V2a is an open-source language model by jspaulsen. Features: 442.5m LLM, VRAM: 0.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.23.

Alpha Chess Endpoints compatible Qwen3 Region:us Safetensors Trained-from-scratch

Model Card on HF 🤗: https://huggingface.co/jspaulsen/halluci-mate-v2a

Halluci Mate V2a Parameters and Internals

LLM Name	Halluci Mate V2a
Repository 🤗	https://huggingface.co/jspaulsen/halluci-mate-v2a
Model Size	442.5m
Required VRAM	0.9 GB
Updated	2026-07-25
Maintainer	jspaulsen
Model Type	qwen3
Model Files	0.9 GB
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	5.3.0
Tokenizer Class	ChessTokenizer
Padding Token	<PAD>
Vocabulary Size	1974

Rank the Halluci Mate V2a 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 Halluci Mate V2a

Best Alternatives	Context / RAM	Downloads	Likes
Halluci Mate V2b	32K / 0.9 GB	8	0
Halluci Mate V1b	32K / 0.9 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than jspaulsen/halluci-mate-v2a.