What are the hardware requirements for Reyna Mini 1.8B V0.2 Function Call Laser?

Reyna Mini 1.8B V0.2 Function Call Laser requires approximately 3.7 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 Reyna Mini 1.8B V0.2 Function Call Laser and how large is it?

Reyna Mini 1.8B V0.2 Function Call Laser is developed by jtatman, a model with 1.8b 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 Reyna Mini 1.8B V0.2 Function Call Laser?

Reyna Mini 1.8B V0.2 Function Call Laser is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Reyna Mini 1.8B V0.2 Function Call Laser by jtatman — VRAM 3.7GB, 32K context

Name: Reyna Mini 1.8B V0.2 Function Call Laser
Author: jtatman

Reyna Mini 1.8B V0.2 Function Call Laser is an open-source language model by jtatman. Features: 1.8b LLM, VRAM: 3.7GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11.

Conversational Dataset:jtatman/glaive functio... Endpoints compatible Function calling Laser Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/jtatman/Reyna-Mini-1.8B-v0.2-function-call-laser

Reyna Mini 1.8B V0.2 Function Call Laser Parameters and Internals

Model Type

chat, conversational, text generation, function calling

Use Cases

Areas:

Chat, Conversational, Text Generation, Function Calling

Limitations:

This model will take over your house, borrow your car, talk badly to your family, and generally make everything incrementally worse if used for nefarious purposes.

Considerations:

Use at your own risk. It's a great small model, owing to the base model before tuning.

Additional Notes

The function calling is mediocre, but will be improved in future versions.

Training Details

Data Sources:

jtatman/glaive_function_calling_v2_filtered_10k

Methodology:

Fine-tuning with LaserRMT technique using Peft.

LLM Name	Reyna Mini 1.8B V0.2 Function Call Laser
Repository 🤗	https://huggingface.co/jtatman/Reyna-Mini-1.8B-v0.2-function-call-laser
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-06-03
Maintainer	jtatman
Model Type	qwen2
Model Files	3.7 GB
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Reyna Mini 1.8B V0.2 Function Call Laser 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 Reyna Mini 1.8B V0.2 Function Call Laser

Best Alternatives	Context / RAM	Downloads	Likes
Palmyra Mini Thinking B	128K / 3.5 GB	35	27
Dhanishtha	128K / 3.5 GB	82	2
LaConfiance PRYMMAL ECE TW3	128K / 7.1 GB	6	0
Arora Finetuned	32K / 3.7 GB	305	1
Qwen1.5 1.8B Pharma Final	32K / 3.7 GB	204	1
Reyna Mini 1.8B V0.1	32K / 3.7 GB	66	2
Qwen1.5 1.8B Chat	32K / 3.7 GB	66688	75
Qwen1.5 1.8B	32K / 3.7 GB	67455	59
Qwen1.5 1.8B Chat Heretic	32K / 3.7 GB	8	0
Qwen1.5 1.8B Chat Heretic	32K / 3.7 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than jtatman/Reyna-Mini-1.8B-v0.2-function-call-laser.