Autotrain compatible Axolotl Base model:finetune:mistral-co... Base model:mistral-community/m... 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: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: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 Endpoints compatible Finetuned Generated from trainer Gpt4 Instruct Math Mistral Model-index Physics Region:us Safetensors Science Sharded Synthetic data Tensorflow
Einstein V5 V0.2 7B Benchmarks
ARC: 60.92 vs 96.7 (so35)-37%
HellaSwag: 80.99 vs 95.3 (gpt4)-15%
MMLU: 61.02 vs 88.3 (so35)-30.9%
TruthfulQA: 52.59 vs 59 (gpt4)-10.9%
WinoGrande: 78.69 vs 87.5 (gpt4)-10.1%
GSM8K: 59.67 vs 96.4 (so35)-38.1%
LLME Score: 0.22027
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 V5 V0.2 7B Parameters and Internals
| LLM Name | Einstein V5 V0.2 7B |
| Repository 🤗 | https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-07 |
| Maintainer | Weyaxi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Einstein V5 V0.2 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 17 | 0 |
| ... Summarize 64K QLoRANET Merged | 128K / 4.1 GB | 5 | 0 |
| ...1 Summarize 64K LoRANET Merged | 128K / 14.4 GB | 7 | 0 |
| Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 1081846 | 2499 |
| Mistral 7B Instruct V0.1 | 32K / 14.4 GB | 627662 | 1495 |
| ...ty Instruct 3M 0613 Mistral 7B | 32K / 14.4 GB | 5284 | 10 |
| ...ty Instruct 3M 0625 Mistral 7B | 32K / 14.4 GB | 2053 | 2 |
| Dolphin 2.8 Mistral 7B V02 | 32K / 14.4 GB | 24045 | 205 |
| XLAM 7B R | 32K / 14.4 GB | 90 | 18 |
| ...lExperiment 7B MagicCoder V7.5 | 32K / 14.4 GB | 5139 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than Weyaxi/Einstein-v5-v0.2-7B .
Rank the Einstein V5 V0.2 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803