What are the hardware requirements for Llama 3 Merge Pp Instruct 8B?

Llama 3 Merge Pp Instruct 8B requires approximately 16.1 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.

Who developed Llama 3 Merge Pp Instruct 8B and how large is it?

Llama 3 Merge Pp Instruct 8B is developed by grimjim, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 3 Merge Pp Instruct 8B perform on standard benchmarks?

Llama 3 Merge Pp Instruct 8B has the following published scores: MMLU 67.77. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 Merge Pp Instruct 8B by grimjim — VRAM 16.1GB, 8K context

Name: Llama 3 Merge Pp Instruct 8B
Author: grimjim

Llama 3 Merge Pp Instruct 8B is an open-source language model by grimjim. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, Instruction-Based, Merged, LLM Explorer Score: 0.13, Arc: 62.6, HellaSwag: 80.4, MMLU: 67.8, GSM8K: 68.2.

Merged Model Base model:meta-llama/meta-lla... Base model:nitral-ai/poppy por... Conversational En Endpoints compatible Instruct Llama Llama-3 Meta Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/llama-3-merge-pp-instruct-8B

Llama 3 Merge Pp Instruct 8B Parameters and Internals

Model Type

text-generation

Additional Notes

Built with Meta Llama 3. Lightly tested at temperature=1.0, minP=0.02 with provisional Llama 3 Instruct prompts.

Training Details

Methodology:

SLERP merge method

LLM Name	Llama 3 Merge Pp Instruct 8B
Repository 🤗	https://huggingface.co/grimjim/llama-3-merge-pp-instruct-8B
Base Model(s)	Meta Llama 3 8B Instruct ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B meta-llama/Meta-Llama-3-8B-Instruct ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-28
Maintainer	grimjim
Model Type	llama
Instruction-Based	Yes
Model Files	6.0 GB: 1-of-3 6.0 GB: 2-of-3 4.1 GB: 3-of-3
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Merge Pp Instruct 8B 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 Llama 3 Merge Pp Instruct 8B

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 grimjim/llama-3-merge-pp-instruct-8B.