What are the hardware requirements for Assn2 Sft Train5?

Assn2 Sft Train5 requires approximately 2.5 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 Assn2 Sft Train5 and how large is it?

Assn2 Sft Train5 is developed by piico, a model with 1.2b 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 Assn2 Sft Train5?

Assn2 Sft Train5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Assn2 Sft Train5 by piico — VRAM 2.5GB, 128K context

Name: Assn2 Sft Train5
Author: piico

Assn2 Sft Train5 is an open-source language model by piico. Features: 1.2b LLM, VRAM: 2.5GB, Context: 128K, LLM Explorer Score: 0.24.

Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/piico/assn2-sft-train5

Assn2 Sft Train5 Parameters and Internals

LLM Name	Assn2 Sft Train5
Repository 🤗	https://huggingface.co/piico/assn2-sft-train5
Model Size	1.2b
Required VRAM	2.5 GB
Updated	2026-08-03
Maintainer	piico
Model Type	llama
Model Files	2.5 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	5.9.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|eot_id\|>
Vocabulary Size	128256

Rank the Assn2 Sft Train5 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

Best Alternatives to Assn2 Sft Train5

Best Alternatives	Context / RAM	Downloads	Likes
Mazgu Llama V3 Merged	128K / 2.5 GB	301	0
Zay Llama1b DPO Harmful PathD	128K / 2.5 GB	1	1
Akshar Nano V2	128K / 2.5 GB	15	0
Akshar Nano	128K / 2.5 GB	10	0
Second Tts Try	128K / 2.5 GB	39	0
...18 27e6 491c B3ab Ea03a5b93541	128K / 4.9 GB	10	0
...e9 9a4a 4ead 84f4 71761ee932ca	128K / 4.9 GB	6	0
SemAFacet SFT Merged 10K	128K / 4.9 GB	9	0
Llamainstructbadendings	128K / 2.5 GB	13	0
Llama Pubmed Example	128K / 2.5 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than piico/assn2-sft-train5.