What are the hardware requirements for Templar V1 8B?

Templar V1 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 Templar V1 8B and how large is it?

Templar V1 8B is developed by ChaoticNeutrals, 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 Templar V1 8B?

Templar V1 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Templar V1 8B by ChaoticNeutrals — VRAM 16.1GB, 8K context

Name: Templar V1 8B
Author: ChaoticNeutrals

Templar V1 8B is an open-source language model by ChaoticNeutrals. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Merged, LLM Explorer Score: 0.13.

Merged Model Base model:chaoticneutrals/t-9... Base model:finetune:chaoticneu... Conversational En Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ChaoticNeutrals/Templar_v1_8B

Templar V1 8B Parameters and Internals

Model Type

roleplaying

Additional Notes

A SLERP merge of T-900 and Nymph. This model is designed for roleplaying with emergent properties.

Supported Languages

en ()

LLM Name	Templar V1 8B
Repository 🤗	https://huggingface.co/ChaoticNeutrals/Templar_v1_8B
Base Model(s)	T 900 8B Nymph 8B ChaoticNeutrals/T-900-8B ResplendentAI/Nymph_8B
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-09-07
Maintainer	ChaoticNeutrals
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	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Templar V1 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

Best Alternatives to Templar V1 8B

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
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than ChaoticNeutrals/Templar_v1_8B.