What are the hardware requirements for Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42?

Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 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.

Where can I download or evaluate Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42?

Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 by KevinG — VRAM 16.1GB, 128K context

Name: Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42
Author: KevinG

Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 is an open-source language model by KevinG. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.19.

Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42

Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 Parameters and Internals

LLM Name	Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42
Repository 🤗	https://huggingface.co/KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-09-23
Maintainer	KevinG
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 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.1 8B Instruct GRPO Alpaca Combine 100 No KL 42 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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...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
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...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
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Note: green Score (e.g. "73.2") means that the model is better than KevinG/Llama-3.1-8B-Instruct-GRPO-alpaca-combine-100-no-KL-42.