What are the hardware requirements for Qalb 1.0 8B Instruct?

Qalb 1.0 8B Instruct requires approximately 16.1 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 Qalb 1.0 8B Instruct and how large is it?

Qalb 1.0 8B Instruct is developed by enstazao, a model with 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 Qalb 1.0 8B Instruct?

Qalb 1.0 8B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qalb 1.0 8B Instruct by enstazao — VRAM 16.1GB, 128K context

Name: Qalb 1.0 8B Instruct
Author: enstazao

Qalb 1.0 8B Instruct is an open-source language model by enstazao. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Arxiv:2601.08141 Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-... En Endpoints compatible Finetuned Instruct Llama Llama-3.1 Region:us Safetensors Sharded Tensorflow Unsloth Ur Urdu

Model Card on HF 🤗: https://huggingface.co/enstazao/Qalb-1.0-8B-Instruct

Qalb 1.0 8B Instruct Parameters and Internals

LLM Name	Qalb 1.0 8B Instruct
Repository 🤗	https://huggingface.co/enstazao/Qalb-1.0-8B-Instruct
Base Model(s)	unsloth/Meta-Llama-3.1-8B unsloth/Meta-Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-29
Maintainer	enstazao
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	ur en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.57.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256

Rank the Qalb 1.0 8B Instruct 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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