What are the hardware requirements for Trillama 8B?

Trillama 8B requires approximately 16.1 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trillama 8B and how large is it?

Trillama 8B is developed by senseable, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Trillama 8B perform on standard benchmarks?

Trillama 8B has the following published scores: MMLU 66.35. Compare against reference models on this page or on the LLM Explorer leaderboards.

Trillama 8B by senseable — VRAM 16.1GB, 8K context

Name: Trillama 8B
Author: senseable

Trillama 8B is an open-source language model by senseable. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama2, LLM Explorer Score: 0.13, Arc: 60.6, HellaSwag: 78.7, MMLU: 66.4, GSM8K: 67.4.

Conversational En Endpoints compatible Facebook Llama Llama-3 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/senseable/Trillama-8B

Trillama 8B Parameters and Internals

Model Type

text-generation

Additional Notes

Trillama-8B is a fine-tune focused on improving the logic and reasoning skills of Llama-3-8B.

LLM Name	Trillama 8B
Repository 🤗	https://huggingface.co/senseable/Trillama-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-02
Maintainer	senseable
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	AutoModelForCausalLM
License	llama2
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Trillama 8B 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

Quantized Models of the Trillama 8B

Model	Likes	Downloads	VRAM
Trillama 8B AWQ	1	12	5 GB

Best Alternatives to Trillama 8B

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 8B Instuct Uz	128K / 16.1 GB	1000	15
AutogenJune2000	8K / 33.8 GB	6	0
Llama3 8B	8K / 16.1 GB	7	0
NewMes V15	0K / 16.1 GB	409	18
Cve Model	0K / 0.3 GB	16	0
Shaista Pro	0K / 0 GB	10	0
...Datasets Layer 1 Decoder Fixed	0K / 0.7 GB	672	0
Medllama3 V20	0K / 16.1 GB	25328	78
ConfTuner Ministral	0K / 16.1 GB	13	4
...llem V1 Smilebase Llama 3.1 8B	0K / 1.1 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than senseable/Trillama-8B.