What are the hardware requirements for Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2?

Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2 requires approximately 2.2 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2?

Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2 by Agnuxo — VRAM 2.2GB, 2K context

Name: Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2
Author: Agnuxo

Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2 is an open-source language model by Agnuxo. Features: 1.1b LLM, VRAM: 2.2GB, Context: 2K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2604.19792 16bit Cajal Code-generation-assistant Conversational En Es Instruct Llama Local-ai P2pclaw Quantized Region:us Safetensors Scientific-research

Model Card on HF 🤗: https://huggingface.co/Agnuxo/Tinytron-TinyLlama-Instruct_CODE_Python_Spanish_English_Asistant-16bit-v2

Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2 Parameters and Internals

Training Details

Methodology:

Fine-tuning with Unsloth and Huggingface's TRL library

LLM Name	Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2
Repository 🤗	https://huggingface.co/Agnuxo/Tinytron-TinyLlama-Instruct_CODE_Python_Spanish_English_Asistant-16bit-v2
Model Size	1.1b
Required VRAM	2.2 GB
Updated	2026-08-24
Maintainer	Agnuxo
Model Type	llama
Instruction-Based	Yes
Model Files	2.2 GB
Supported Languages	en es
Quantization Type	16bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.43.4
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Tinytron TinyLlama Instruct CODE Python Spanish English Asistant 16bit V2 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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...diate 1.5T PTBR Instruct V3 8K	8K / 2.2 GB	11	8
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TinyLlama 1.1B Instruct 3T	4K / 2.2 GB	56	0

Note: green Score (e.g. "73.2") means that the model is better than Agnuxo/Tinytron-TinyLlama-Instruct_CODE_Python_Spanish_English_Asistant-16bit-v2.