What are the hardware requirements for PRYMMAL ECE 1B SLERP V1?

PRYMMAL ECE 1B SLERP V1 requires approximately 9.7 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 PRYMMAL ECE 1B SLERP V1 and how large is it?

PRYMMAL ECE 1B SLERP V1 is developed by Lil-R, 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 PRYMMAL ECE 1B SLERP V1?

PRYMMAL ECE 1B SLERP V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

PRYMMAL ECE 1B SLERP V1 by Lil-R — VRAM 9.7GB, 32K context

Name: PRYMMAL ECE 1B SLERP V1
Author: Lil-R

PRYMMAL ECE 1B SLERP V1 is an open-source language model by Lil-R. Features: 1b LLM, VRAM: 9.7GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.19.

Merged Model Base model:goekdeniz-guelmez/j... Base model:marsouuu/qwen1 78-e... Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Lil-R/PRYMMAL-ECE-1B-SLERP-V1

PRYMMAL ECE 1B SLERP V1 Parameters and Internals

LLM Name	PRYMMAL ECE 1B SLERP V1
Repository 🤗	https://huggingface.co/Lil-R/PRYMMAL-ECE-1B-SLERP-V1
Base Model(s)	Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1 Qwen1 78 ECE PRYMMAL Martial Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1 Marsouuu/Qwen1_78-ECE-PRYMMAL-Martial
Merged Model	Yes
Model Size	1b
Required VRAM	9.7 GB
Updated	2026-07-23
Maintainer	Lil-R
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.5 GB: 1-of-1 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	4.46.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the PRYMMAL ECE 1B SLERP V1 capabilities

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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

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ECE 1B Merge PRYMMAL	32K / 3.6 GB	10	0
ECE PRYMMAL1B FT V1	32K / 6.2 GB	7	0
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Qwen2.5 1B Instruct	32K / 2 GB	26	0
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NanoLM 1B Instruct V2	4K / 2.1 GB	9	1
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