What are the hardware requirements for Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real?

Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real 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.

Where can I download or evaluate Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real?

Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real by 19uez — VRAM 6.5GB, 128K context

Name: Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real
Author: 19uez

Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real is an open-source language model by 19uez. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3... Conversational En Endpoints compatible Finetuned Instruct Llama Pytorch Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/19uez/finetuned_lamma3.2_3B_2k_kmap_sft_1_e_lrank_16_1104_real

Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real Parameters and Internals

LLM Name	Finetuned Lamma3.2 3B 2k Kmap Sft 1 E Lrank 16 1104 Real
Repository 🤗	https://huggingface.co/19uez/finetuned_lamma3.2_3B_2k_kmap_sft_1_e_lrank_16_1104_real
Base Model(s)	unsloth/Llama-3.2-3B-Instruct unsloth/Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-08-10
Maintainer	19uez
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Finetuned Lamma3.2 3B 2K Kmap Sft 1 E Lrank 16 1104 Real 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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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
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... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
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... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0

Note: green Score (e.g. "73.2") means that the model is better than 19uez/finetuned_lamma3.2_3B_2k_kmap_sft_1_e_lrank_16_1104_real.