What are the hardware requirements for Rusted Gold 8B LINEAR?

Rusted Gold 8B LINEAR 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 Rusted Gold 8B LINEAR and how large is it?

Rusted Gold 8B LINEAR is developed by DreadPoor, 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 Rusted Gold 8B LINEAR?

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

Rusted Gold 8B LINEAR by DreadPoor — VRAM 16.1GB, 128K context

Name: Rusted Gold 8B LINEAR
Author: DreadPoor

Rusted Gold 8B LINEAR is an open-source language model by DreadPoor. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Merged, LLM Explorer Score: 0.25.

Merged Model Arxiv:2203.05482 Base model:fuseai/fusechat-lla... Base model:kik41/lora-grade-el... Base model:kik41/lora-type-exp... Base model:resplendentai/smart... Base model:sao10k/l3-8b-stheno... Base model:sentientagi/dobby-m... Conversational Endpoints compatible Llama Lora Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DreadPoor/Rusted_Gold-8B-LINEAR

Rusted Gold 8B LINEAR Parameters and Internals

LLM Name	Rusted Gold 8B LINEAR
Repository 🤗	https://huggingface.co/DreadPoor/Rusted_Gold-8B-LINEAR
Base Model(s)	FuseAI/FuseChat-Llama-3.1-8B-SFT kik41/lora-type-expository-llama-3-8b-v2 SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B kik41/lora-grade-elementary-llama-3-8b-v2 Sao10K/L3-8B-Stheno-v3.2 Smarts Llama3 FuseAI/FuseChat-Llama-3.1-8B-SFT kik41/lora-type-expository-llama-3-8b-v2 SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B kik41/lora-grade-elementary-llama-3-8b-v2 Sao10K/L3-8B-Stheno-v3.2 ResplendentAI/Smarts_Llama3
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-04-26
Maintainer	DreadPoor
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
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

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