What are the hardware requirements for Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300?

Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300 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.

Where can I download or evaluate Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300?

Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300 by KevinG — VRAM 32.1GB, 8K context

Name: Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300
Author: KevinG

Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300 is an open-source language model by KevinG. Features: 8b LLM, VRAM: 32.1GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.18.

Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/KevinG/Meta-Llama-3-8B-Instruct-GRPO-alpaca_combine_100_no_KL-checkpoint-300

Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300 Parameters and Internals

LLM Name	Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300
Repository 🤗	https://huggingface.co/KevinG/Meta-Llama-3-8B-Instruct-GRPO-alpaca_combine_100_no_KL-checkpoint-300
Model Size	8b
Required VRAM	32.1 GB
Updated	2025-09-23
Maintainer	KevinG
Model Type	llama
Instruction-Based	Yes
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
Context Length	8192
Model Max Length	8192
Transformers Version	4.52.4
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	float32

Rank the Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300 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 Meta Llama 3 8B Instruct GRPO Alpaca Combine 100 No KL Checkpoint 300

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

Note: green Score (e.g. "73.2") means that the model is better than KevinG/Meta-Llama-3-8B-Instruct-GRPO-alpaca_combine_100_no_KL-checkpoint-300.