Autotrain compatible Base model:finetune:nvidia/ace... Base model:nvidia/acemath-7b-i... Conversational Endpoints compatible Generated from trainer Instruct Lora Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/tslim1/acemath-convfinqa
Acemath Convfinqa 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)
Acemath Convfinqa Parameters and Internals
| LLM Name | Acemath Convfinqa |
| Repository 🤗 | https://huggingface.co/tslim1/acemath-convfinqa |
| Model Name | acemath-convfinqa |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-09-22 |
| Maintainer | tslim1 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|v_proj|up_proj|o_proj|q_proj|k_proj|down_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.1 |
| R Param | 16 |
| Errors | replace |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124