What are the hardware requirements for Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16?

Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 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.

How does Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 perform on standard benchmarks?

Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 has the following published scores: MMLU 65.62. Compare against reference models on this page or on the LLM Explorer leaderboards.

Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 by Edgerunners — VRAM 16.1GB, 8K context

Name: Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16
Author: Edgerunners

Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 is an open-source language model by Edgerunners. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.14, Arc: 60.8, HellaSwag: 77.3, MMLU: 65.6, GSM8K: 65.5.

Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-5fail-3000total-bf16

Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 Parameters and Internals

Model Type

alignment research

LLM Name	Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16
Repository 🤗	https://huggingface.co/Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-5fail-3000total-bf16
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	Edgerunners
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
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8B Instruct Hf Ortho Baukit 5fail 3000total Bf16 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 Hf Ortho Baukit 5fail 3000total Bf16

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...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 Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-5fail-3000total-bf16.