What are the hardware requirements for Komodo Llama 3.2 3B V2 Fp16?

Komodo Llama 3.2 3B V2 Fp16 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 Komodo Llama 3.2 3B V2 Fp16 and how large is it?

Komodo Llama 3.2 3B V2 Fp16 is developed by suayptalha, 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 Komodo Llama 3.2 3B V2 Fp16?

Komodo Llama 3.2 3B V2 Fp16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Komodo Llama 3.2 3B V2 Fp16 by suayptalha — VRAM 6.5GB, 128K context

Name: Komodo Llama 3.2 3B V2 Fp16
Author: suayptalha

Komodo Llama 3.2 3B V2 Fp16 is an open-source language model by suayptalha. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

4bit Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Dataset:jeggers/competition ma... De Deploy:azure En Endpoints compatible Es Fp16 Fr Hi Instruct It Llama Model-index Pt Pytorch Quantized Region:us Safetensors Sft Sharded Tensorflow Th Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/suayptalha/Komodo-Llama-3.2-3B-v2-fp16

Komodo Llama 3.2 3B V2 Fp16 Parameters and Internals

LLM Name	Komodo Llama 3.2 3B V2 Fp16
Repository 🤗	https://huggingface.co/suayptalha/Komodo-Llama-3.2-3B-v2-fp16
Base Model(s)	meta-llama/Llama-3.2-3B-Instruct meta-llama/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-08-01
Maintainer	suayptalha
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2 5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en th pt es de fr it hi
Quantization Type	fp16\|4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Komodo Llama 3.2 3B V2 Fp16 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

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Llama3 Finetuned Id 16bit	128K / 6.5 GB	652	0
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Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Komodo-Llama-3.2-3B-v2-fp16.