What are the hardware requirements for Llama32 3B Legal Id Sft?

Llama32 3B Legal Id Sft 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 Llama32 3B Legal Id Sft and how large is it?

Llama32 3B Legal Id Sft is developed by Fitzeon, 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 Llama32 3B Legal Id Sft?

Llama32 3B Legal Id Sft is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama32 3B Legal Id Sft by Fitzeon — VRAM 6.5GB, 128K context

Name: Llama32 3B Legal Id Sft
Author: Fitzeon

Llama32 3B Legal Id Sft is an open-source language model by Fitzeon. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3... Conversational En Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Fitzeon/llama32-3b-legal-id-sft

Llama32 3B Legal Id Sft Parameters and Internals

LLM Name	Llama32 3B Legal Id Sft
Repository 🤗	https://huggingface.co/Fitzeon/llama32-3b-legal-id-sft
Base Model(s)	unsloth/Llama-3.2-3B-bnb-4bit unsloth/Llama-3.2-3B-bnb-4bit
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-09-10
Maintainer	Fitzeon
Model Type	llama
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
Tokenizer Class	TokenizersBackend
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Censorship and Alignment
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