What are the hardware requirements for Llama 3.2 3B Asr Refiner Merged?

Llama 3.2 3B Asr Refiner Merged requires approximately 6.5 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 Llama 3.2 3B Asr Refiner Merged and how large is it?

Llama 3.2 3B Asr Refiner Merged is developed by gspeter0, a model with 3b 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 Llama 3.2 3B Asr Refiner Merged?

Llama 3.2 3B Asr Refiner Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 3B Asr Refiner Merged by gspeter0 — VRAM 6.5GB, 128K context

Name: Llama 3.2 3B Asr Refiner Merged
Author: gspeter0

Llama 3.2 3B Asr Refiner Merged is an open-source language model by gspeter0. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.31.

4bit Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/pankaj0/llama-3.2-3b-asr-refiner-merged

Llama 3.2 3B Asr Refiner Merged Parameters and Internals

LLM Name	Llama 3.2 3B Asr Refiner Merged
Repository 🤗	https://huggingface.co/pankaj0/llama-3.2-3b-asr-refiner-merged
Base Model(s)	unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-10-12
Maintainer	gspeter0
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.2 3B Asr Refiner Merged 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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