What are the hardware requirements for TriLM 3.9B Unpacked?

TriLM 3.9B Unpacked requires approximately 8 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.

Who developed TriLM 3.9B Unpacked and how large is it?

TriLM 3.9B Unpacked is developed by SpectraSuite, a model with 3.9b 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 TriLM 3.9B Unpacked?

TriLM 3.9B Unpacked is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TriLM 3.9B Unpacked by SpectraSuite — VRAM 8GB, 2K context

Name: TriLM 3.9B Unpacked
Author: SpectraSuite

TriLM 3.9B Unpacked is an open-source language model by SpectraSuite. Features: 3.9b LLM, VRAM: 8GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.14.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SpectraSuite/TriLM_3.9B_Unpacked

TriLM 3.9B Unpacked Parameters and Internals

LLM Name	TriLM 3.9B Unpacked
Repository 🤗	https://huggingface.co/SpectraSuite/TriLM_3.9B_Unpacked
Model Size	3.9b
Required VRAM	8 GB
Updated	2026-08-04
Maintainer	SpectraSuite
Model Type	llama
Model Files	5.0 GB: 1-of-2 3.0 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.40.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50688
Torch Data Type	float16

Rank the TriLM 3.9B Unpacked 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

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Note: green Score (e.g. "73.2") means that the model is better than SpectraSuite/TriLM_3.9B_Unpacked.