What are the hardware requirements for Llama3 8B Chat Brainstorm V2.1?

Llama3 8B Chat Brainstorm V2.1 requires approximately 32.1 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 Llama3 8B Chat Brainstorm V2.1 and how large is it?

Llama3 8B Chat Brainstorm V2.1 is developed by DevQuasar, 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 Llama3 8B Chat Brainstorm V2.1?

Llama3 8B Chat Brainstorm V2.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 8B Chat Brainstorm V2.1 by DevQuasar — VRAM 32.1GB, 8K context

Name: Llama3 8B Chat Brainstorm V2.1
Author: DevQuasar

Llama3 8B Chat Brainstorm V2.1 is an open-source language model by DevQuasar. Features: 8b LLM, VRAM: 32.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.12.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Dataset:devquasar/brainstorm-v... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DevQuasar/llama3_8b_chat_brainstorm-v2.1

Llama3 8B Chat Brainstorm V2.1 Parameters and Internals

Model Type

text-generation

Use Cases

Considerations:

Brainstorm facilitates idea exploration through interaction with a Language Model (LLM), engaging users in dialogue to foster deeper contemplation of ideas.

Additional Notes

Brainstorm engages in dialogue, asking probing questions and providing summaries in Markdown format.

LLM Name	Llama3 8b Chat Brainstorm V2.1
Repository 🤗	https://huggingface.co/DevQuasar/llama3_8b_chat_brainstorm-v2.1
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	32.1 GB
Updated	2026-08-24
Maintainer	DevQuasar
Model Type	llama
Model Files	4.9 GB: 1-of-7 4.8 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 5.0 GB: 6-of-7 2.6 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float32

Rank the Llama3 8B Chat Brainstorm V2.1 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 Llama3 8B Chat Brainstorm V2.1

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 DevQuasar/llama3_8b_chat_brainstorm-v2.1.