What are the hardware requirements for Llama 3 Dare Ties?

Llama 3 Dare Ties requires approximately 16 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 Llama 3 Dare Ties and how large is it?

Llama 3 Dare Ties is developed by birgermoell, a model with 8b 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 Dare Ties?

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

Llama 3 Dare Ties by birgermoell — VRAM 16GB, 8K context

Name: Llama 3 Dare Ties
Author: birgermoell

Llama 3 Dare Ties is an open-source language model by birgermoell. Features: 8b LLM, VRAM: 16GB, Context: 8K, License: llama2, Instruction-Based, Merged, LLM Explorer Score: 0.12.

Merged Model Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational Endpoints compatible Instruct Llama Meta-llama/meta-llama-3-8b-ins... Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/birgermoell/Llama-3-dare_ties

Llama 3 Dare Ties Parameters and Internals

Model Type

text-generation

Additional Notes

This model is a merge using LazyMergekit.

LLM Name	Llama 3 Dare Ties
Repository 🤗	https://huggingface.co/birgermoell/Llama-3-dare_ties
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Merged Model	Yes
Model Size	8b
Required VRAM	16 GB
Updated	2026-08-07
Maintainer	birgermoell
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-9 1.9 GB: 2-of-9 1.9 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 2.0 GB: 7-of-9 1.2 GB: 8-of-9 1.2 GB: 9-of-9
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Dare Ties 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

Best Alternatives to Llama 3 Dare Ties

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than birgermoell/Llama-3-dare_ties.