Name: Einstein V6.1 Llama3 8B
Author: Weyaxi

Einstein V6.1 Llama3 8B is an open-source language model by Weyaxi. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: other, Instruction-Based, HF Score: 68.6, LLM Explorer Score: 0.24, Arc: 62.5, HellaSwag: 82.4, MMLU: 66.2, TruthfulQA: 55.1, WinoGrande: 79.3, GSM8K: 66.1.

Autotrain compatible Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Biology Chatml Chemistry Conversational Dataset:allenai/ai2 arc Dataset:allenai/wildchat Dataset:bigbio/med qa Dataset:camel-ai/biology Dataset:camel-ai/chemistry Dataset:camel-ai/math Dataset:camel-ai/physics Dataset:cot-alpaca-gpt4-from-o... Dataset:derek-thomas/scienceqa Dataset:huggingfaceh4/no robot... Dataset:jondurbin/airoboros-3.... Dataset:knowrohit07/saraswati-... Dataset:ldjnr/capybara Dataset:lmsys/lmsys-chat-1m Dataset:m-a-p/codefeedback-fil... Dataset:mandyyyyii/scibench Dataset:meta-math/metamathqa-4... Dataset:metaeval/reclor Dataset:microsoft/orca-math-wo... Dataset:migtissera/synthia-v1.... Dataset:open-orca/slimorca Dataset:openassistant/oasst to... Dataset:openbookqa Dataset:openchat/openchat shar... Dataset:piqa Dataset:sablo/oasst2 curated Dataset:scibench Dataset:sciq Dataset:stem-ai-mtl/electrical... Dataset:teknium/gpteacher-gene... Dataset:tiger-lab/mathinstruct Dataset:tiger-lab/scienceeval Dataset:totally-not-an-llm/eve... Dataset:wizardlm/wizardlm evol... En Endpoints compatible Finetuned Generated from trainer Gpt4 Instruct Llama Llama3 Math Model-index Physics Region:us Safetensors Science Sharded Synthetic data Tensorflow

Model Card on HF 🤗: https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B

Einstein V6.1 Llama3 8B Benchmarks

IFEval: 45.68 vs 88 (so35)^-48.1%

ARC: 62.46 vs 96.7 (so35)^-35.4%

HellaSwag: 82.41 vs 95.3 (gpt4)^-13.5%

MMLU: 66.19 vs 88.3 (so35)^-25%

TruthfulQA: 55.1 vs 59 (gpt4)^-6.6%

WinoGrande: 79.32 vs 87.5 (gpt4)^-9.3%

GSM8K: 66.11 vs 96.4 (so35)^-31.4%

MATH Lvl 5: 6.8

LLME Score: 0.24367

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Einstein V6.1 Llama3 8B (Weyaxi/Einstein-v6.1-Llama3-8B)

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Einstein V6.1 Llama3 8B Parameters and Internals

Model Type

text-generation

Additional Notes

The model is based on Llama3 with fine-tuning on a variety of datasets focusing on sciences and text-based instructions.

Supported Languages

English (fluent)

Training Details

Data Sources:

allenai/ai2_arc, camel-ai/physics, camel-ai/chemistry, camel-ai/biology, camel-ai/math, metaeval/reclor, openbookqa, mandyyyyii/scibench, derek-thomas/ScienceQA, TIGER-Lab/ScienceEval, jondurbin/airoboros-3.2, LDJnr/Capybara, Cot-Alpaca-GPT4-From-OpenHermes-2.5, STEM-AI-mtl/Electrical-engineering, knowrohit07/saraswati-stem, sablo/oasst2_curated, lmsys/lmsys-chat-1m, TIGER-Lab/MathInstruct, bigbio/med_qa, meta-math/MetaMathQA-40K, piqa, allenai/WildChat, microsoft/orca-math-word-problems-200k, openchat/openchat_sharegpt4_dataset, teknium/GPTeacher-General-Instruct, m-a-p/CodeFeedback-Filtered-Instruction, totally-not-an-llm/EverythingLM-data-V3, HuggingFaceH4/no_robots, OpenAssistant/oasst_top1_2023-08-25, WizardLM/WizardLM_evol_instruct_70k

Data Volume:

unknown

Methodology:

Fine-tuning on diverse datasets

Context Length:

8192

Training Time:

unknown

Hardware Used:

8xRTX3090, 1xRTXA6000

Model Architecture:

Meta-Llama-3

Input Output

Input Format:

ChatML

Accepted Modalities:

text

Output Format:

Text

LLM Name	Einstein V6.1 Llama3 8B
Repository 🤗	https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-09-23
Maintainer	Weyaxi
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
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128260
Torch Data Type	bfloat16

Quantized Models of the Einstein V6.1 Llama3 8B

Model	Likes	Downloads	VRAM
Einstein V6.1 Llama3 8B AWQ	4	4	5 GB

Best Alternatives to Einstein V6.1 Llama3 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	89	119
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
UltraLong Thinking	4192K / 16.1 GB	9	3
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	40	17
Cthulhu 8B V1.4	1048K / 16.1 GB	13	9
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	3440	55
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	5	1
...dger Nu Llama 3.1 8B UltraLong	1048K / 16.2 GB	5	3

Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v6.1-Llama3-8B.

Rank the Einstein V6.1 Llama3 8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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