What are the hardware requirements for Claude Llama 8B Think?

Claude Llama 8B Think 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 Claude Llama 8B Think and how large is it?

Claude Llama 8B Think is developed by mondk, 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 Claude Llama 8B Think?

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

Claude Llama 8B Think by mondk — VRAM 16.1GB, 128K context

Name: Claude Llama 8B Think
Author: mondk

Claude Llama 8B Think is an open-source language model by mondk. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Base model:davidau/llama3.3-8b... Base model:finetune:davidau/ll... Claude Conversational Dataset:mondk/claude-sonnet5-j... De En Es Fr Instruct It Ja Ko Llama Pt Region:us Ru Safetensors Sharded Tensorflow Thinking Zh

Model Card on HF 🤗: https://huggingface.co/mondk/claude-llama-8B-think

Claude Llama 8B Think Parameters and Internals

LLM Name	Claude Llama 8B Think
Repository 🤗	https://huggingface.co/mondk/claude-llama-8B-think
Base Model(s)	DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning DavidAU/Llama3.3-8B-Instruct-Thinking-Claude-4.5-Opus-High-Reasoning
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-11
Maintainer	mondk
Model Type	llama
Instruction-Based	Yes
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 fr de es it pt zh ja ru ko
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Claude Llama 8B Think capabilities

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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 Claude Llama 8B Think

Model	Likes	Downloads	VRAM
Claude Llama 8B Think Mlx 4Bit	4	279	4 GB

Best Alternatives to Claude Llama 8B Think

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