What are the hardware requirements for ECE PRYMMAL1B FT V1?

ECE PRYMMAL1B FT V1 requires approximately 6.2 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 ECE PRYMMAL1B FT V1 and how large is it?

ECE PRYMMAL1B FT V1 is developed by Youlln, a model with 1b 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 ECE PRYMMAL1B FT V1?

ECE PRYMMAL1B FT V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ECE PRYMMAL1B FT V1 by Youlln — VRAM 6.2GB, 32K context

Name: ECE PRYMMAL1B FT V1
Author: Youlln

ECE PRYMMAL1B FT V1 is an open-source language model by Youlln. Features: 1b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.18.

Merged Model Base model:finetune:lilrg/ece-... Conversational Dataset:mosaicml/instruct-v3 Endpoints compatible Instruct Model-index Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Youlln/ECE-PRYMMAL1B-FT-V1

ECE PRYMMAL1B FT V1 Parameters and Internals

LLM Name	ECE PRYMMAL1B FT V1
Repository 🤗	https://huggingface.co/Youlln/ECE-PRYMMAL1B-FT-V1
Base Model(s)	ECE 1B Merge PRYMMAL LilRg/ECE-1B-merge-PRYMMAL
Merged Model	Yes
Model Size	1b
Required VRAM	6.2 GB
Updated	2026-06-27
Maintainer	Youlln
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the ECE PRYMMAL1B FT V1 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 ECE PRYMMAL1B FT V1

Best Alternatives	Context / RAM	Downloads	Likes
PRYMMAL ECE 1B SLERP V1	32K / 9.7 GB	5	0
ECE 1B Merge PRYMMAL	32K / 3.6 GB	10	0
MilkyLoong Qwen2.5 1.5B Base1	32K / 3.1 GB	8	0
Qwen2.5 1B Instruct	32K / 2 GB	26	0
Sailor2 1B Chat	4K / 2 GB	841	16
NanoLM 1B Instruct V2	4K / 2.1 GB	9	1
NanoLM 1B Instruct V1.1	4K / 2.1 GB	9	1

Note: green Score (e.g. "73.2") means that the model is better than Youlln/ECE-PRYMMAL1B-FT-V1.