What are the hardware requirements for Llama 3 Fine Tuned C?

Llama 3 Fine Tuned C requires approximately 1.3 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 Fine Tuned C and how large is it?

Llama 3 Fine Tuned C is developed by RJ1200, a model with 1b 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 Fine Tuned C?

Llama 3 Fine Tuned C is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 Fine Tuned C by RJ1200 — VRAM 1.3GB, 128K context

Name: Llama 3 Fine Tuned C
Author: RJ1200

Llama 3 Fine Tuned C is an open-source language model by RJ1200. Features: 1b LLM, VRAM: 1.3GB, Context: 128K, Quantized, LLM Explorer Score: 0.14.

Arxiv:1910.09700 Endpoints compatible Gguf Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/RJ1200/llama-3-fine_tuned_C

Llama 3 Fine Tuned C Parameters and Internals

LLM Name	Llama 3 Fine Tuned C
Repository 🤗	https://huggingface.co/RJ1200/llama-3-fine_tuned_C
Model Size	1b
Required VRAM	1.3 GB
Updated	2026-05-28
Maintainer	RJ1200
Model Type	llama
Model Files	1.3 GB 2.5 GB 1.3 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 Fine Tuned C 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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Note: green Score (e.g. "73.2") means that the model is better than RJ1200/llama-3-fine_tuned_C.