What are the hardware requirements for FAME Gold Llama32 3B Instruct Qa 1p25?

FAME Gold Llama32 3B Instruct Qa 1p25 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 FAME Gold Llama32 3B Instruct Qa 1p25 and how large is it?

FAME Gold Llama32 3B Instruct Qa 1p25 is developed by ClaudioSavelli, 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 FAME Gold Llama32 3B Instruct Qa 1p25?

FAME Gold Llama32 3B Instruct Qa 1p25 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FAME Gold Llama32 3B Instruct Qa 1p25 by ClaudioSavelli — VRAM 6.5GB, 128K context

Name: FAME Gold Llama32 3B Instruct Qa 1p25
Author: ClaudioSavelli

FAME Gold Llama32 3B Instruct Qa 1p25 is an open-source language model by ClaudioSavelli. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, Instruction-Based.

Arxiv:1910.09700 Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ClaudioSavelli/FAME_gold_llama32-3b-instruct-qa-1p25

FAME Gold Llama32 3B Instruct Qa 1p25 Parameters and Internals

LLM Name	FAME Gold Llama32 3B Instruct Qa 1p25
Repository 🤗	https://huggingface.co/ClaudioSavelli/FAME_gold_llama32-3b-instruct-qa-1p25
Model Size	3b
Required VRAM	6.5 GB
Updated	2026-10-17
Maintainer	ClaudioSavelli
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.56.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256

Rank the FAME Gold Llama32 3B Instruct Qa 1p25 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

Best Alternatives to FAME Gold Llama32 3B Instruct Qa 1p25

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
...3B TechWriter Instruct Unsloth	128K / 6.5 GB	4264	1
...lama 3.2 3B ORPO Advertisement	128K / 6.5 GB	189	2
...ini Math345 GroupB Llama32 End	128K / 6.5 GB	755	0
...ama 3.2 3B TechWriter Instruct	128K / 6.4 GB	226	0
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
Alloma 3B Instruct	128K / 6.5 GB	55456	6
HyLo Llama 6MLA22GDN 8K SFT	128K / 17.1 GB	42	1
Llama3.2 3B Manumit V1	128K / 6.4 GB	135	0

Note: green Score (e.g. "73.2") means that the model is better than ClaudioSavelli/FAME_gold_llama32-3b-instruct-qa-1p25.