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Einstein V4 7B by Weyaxi

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  Autotrain compatible   Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Biology   Chatml   Chemistry   Conversational   Dataset:allenai/ai2 arc   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:glaiveai/glaive-code-a... Dataset:jondurbin/airoboros-3.... Dataset:knowrohit07/saraswati-...   Dataset:ldjnr/capybara   Dataset:lmsys/lmsys-chat-1m   Dataset:mandyyyyii/scibench Dataset:meta-math/metamathqa-4...   Dataset:metaeval/reclor Dataset:migtissera/synthia-v1....   Dataset:open-orca/slimorca   Dataset:openbookqa   Dataset:piqa   Dataset:sablo/oasst2 curated   Dataset:scibench   Dataset:sciq Dataset:stem-ai-mtl/electrical...   Dataset:tiger-lab/mathinstruct   Dataset:tiger-lab/scienceeval   En   Endpoints compatible   Finetuned   Generated from trainer   Gpt4   Instruct   Math   Mistral   Model-index   Physics   Region:us   Safetensors   Science   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Einstein-v4-7B 

Einstein V4 7B Benchmarks

MMLU Pro: 13.99
GPQA: 4.25
MUSR: 19.02
BBH: 14.3
IFEval: 47.08 vs 88 (so35)-46.5%
ARC: 64.68 vs 96.7 (so35)-33.1%
HellaSwag: 83.75 vs 95.3 (gpt4)-12.1%
MMLU: 62.31 vs 88.3 (so35)-29.4%
TruthfulQA: 55.15 vs 59 (gpt4)-6.5%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 57.62 vs 96.4 (so35)-40.2%
MATH Lvl 5: 1.89
LLME Score: 0.23545
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Einstein V4 7B (Weyaxi/Einstein-v4-7B)

Einstein V4 7B Parameters and Internals

Model Type 
text-generation, fine-tuned
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, glaiveai/glaive-code-assistant, lmsys/lmsys-chat-1m, TIGER-Lab/MathInstruct, bigbio/med_qa, meta-math/MetaMathQA-40K, openbookqa, piqa, metaeval/reclor, derek-thomas/ScienceQA, scibench, sciq, Open-Orca/SlimOrca, migtissera/Synthia-v1.3, TIGER-Lab/ScienceEval
Methodology:
Fine-tuning
Context Length:
8192
Hardware Used:
7xRTX3090, 1xRTXA6000
Model Architecture:
MistralForCausalLM
Input Output 
Input Format:
ChatML
Accepted Modalities:
text
LLM NameEinstein V4 7B
Repository 🤗https://huggingface.co/Weyaxi/Einstein-v4-7B 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerWeyaxi
Model Typemistral
Model Files  14.5 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Einstein V4 7B

Model
Likes
Downloads
VRAM
Einstein V4 7B AWQ1844 GB

Best Alternatives to Einstein V4 7B

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...daz Web AI ChatML 512K Project512K / 14.5 GB120
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Hebrew Mistral 7B 200K256K / 30 GB1461915
Astral 256K 7B V2250K / 14.4 GB70
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v4-7B.

Rank the Einstein V4 7B 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 v20241227
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