4-bit Autotrain compatible Axolotl Base model:quantized:qwen/qwen... Base model:qwen/qwen1.5-32b Biology Bitsandbytes 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 Einstein En Endpoints compatible Finetuned Generated from trainer Gpt4 Instruct Lora Math Phi Phi2 Physics Qwen2 Region:us Safetensors Science Synthetic data
Model Card on HF 🤗: https://huggingface.co/Weyaxi/Einstein-v4-Qwen-1.5-32B-adapter-checkpoints
Einstein V4 Qwen 1.5 32B Adapter Checkpoints Benchmarks
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 V4 Qwen 1.5 32B Adapter Checkpoints Parameters and Internals
| Model Type |
| |||
| Training Details |
|
| LLM Name | Einstein V4 Qwen 1.5 32B Adapter Checkpoints |
| Repository 🤗 | https://huggingface.co/Weyaxi/Einstein-v4-Qwen-1.5-32B-adapter-checkpoints |
| Base Model(s) | |
| Model Size | 32b |
| Required VRAM | 4.2 GB |
| Updated | 2025-06-01 |
| Maintainer | Weyaxi |
| Model Files | |
| Supported Languages | en |
| Model Architecture | AutoModelForCausalLM |
| License | other |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | k_proj|up_proj|v_proj|q_proj|gate_proj|down_proj|o_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 64 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227