What are the hardware requirements for BigTalker Lite 8B?

BigTalker Lite 8B requires approximately 16.1 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 BigTalker Lite 8B and how large is it?

BigTalker Lite 8B is developed by Triangle104, 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 BigTalker Lite 8B?

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

BigTalker Lite 8B by Triangle104 — VRAM 16.1GB, 128K context

Name: BigTalker Lite 8B
Author: Triangle104

BigTalker Lite 8B is an open-source language model by Triangle104. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2306.01708 Base model:arcee-ai/llama-3.1-... Base model:davidau/l3.1-rp-her... Base model:nousresearch/hermes... Conversational Endpoints compatible Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Triangle104/BigTalker-Lite-8B

BigTalker Lite 8B Parameters and Internals

LLM Name	BigTalker Lite 8B
Repository 🤗	https://huggingface.co/Triangle104/BigTalker-Lite-8B
Base Model(s)	NousResearch/Hermes-3-Llama-3.1-8B DavidAU/L3.1-RP-Hero-BigTalker-8B arcee-ai/Llama-3.1-SuperNova-Lite NousResearch/Hermes-3-Llama-3.1-8B DavidAU/L3.1-RP-Hero-BigTalker-8B arcee-ai/Llama-3.1-SuperNova-Lite
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-02-20
Maintainer	Triangle104
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
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the BigTalker Lite 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 BigTalker Lite 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 Triangle104/BigTalker-Lite-8B.