What are the hardware requirements for LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter?

LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter requires approximately 0.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter?

LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter by DavidAU — VRAM 0.7GB

Name: LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter
Author: DavidAU

LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 0.7GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

128k context Adapter Base model:adapter:deepseek-ai... Base model:deepseek-ai/deepsee... Brainstorming Deepseek En Finetuned General usage Instruct Llama 3 lora Llama 3.1 lora Lora Lora adapter Mergekit Peft Problem solving Reasoning Region:us Safetensors Solve riddles Thinking

Model Card on HF 🤗: https://huggingface.co/DavidAU/LORA-DeepSeek-R1-Distill-Llama-8B-rank-128-INSTRUCT-adapter

LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter Parameters and Internals

LLM Name	LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter
Repository 🤗	https://huggingface.co/DavidAU/LORA-DeepSeek-R1-Distill-Llama-8B-rank-128-INSTRUCT-adapter
Base Model(s)	DeepSeek R1 Distill Llama 8B deepseek-ai/DeepSeek-R1-Distill-Llama-8B
Model Size	8b
Required VRAM	0.7 GB
Updated	2025-09-23
Maintainer	DavidAU
Instruction-Based	Yes
Model Files	0.7 GB
Supported Languages	en
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|o_proj\|v_proj\|lm_head\|q_proj\|gate_proj\|down_proj\|up_proj\|embed_tokens
LoRA Alpha	128
LoRA Dropout	0
R Param	128

Rank the LORA DeepSeek R1 Distill Llama 8B Rank 128 INSTRUCT Adapter 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

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/LORA-DeepSeek-R1-Distill-Llama-8B-rank-128-INSTRUCT-adapter.