What are the hardware requirements for LYRA LLAMA?

LYRA LLAMA requires approximately 2.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LYRA LLAMA and how large is it?

LYRA LLAMA is developed by muhammad-taqi512, a model with 1.2b 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 LYRA LLAMA?

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

LYRA LLAMA by muhammad-taqi512 — VRAM 2.5GB, 128K context

Name: LYRA LLAMA
Author: muhammad-taqi512

LYRA LLAMA is an open-source language model by muhammad-taqi512. Features: 1.2b LLM, VRAM: 2.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.33.

Conversational Custom-ai En Endpoints compatible Llama Lyra-llama Muhammad-taqi Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/muhammad-taqi512/LYRA-LLAMA

LYRA LLAMA Parameters and Internals

LLM Name	LYRA LLAMA
Repository 🤗	https://huggingface.co/muhammad-taqi512/LYRA-LLAMA
Model Size	1.2b
Required VRAM	2.5 GB
Updated	2026-09-29
Maintainer	muhammad-taqi512
Model Type	llama
Model Files	2.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.0.dev0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the LYRA LLAMA 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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