Arxiv:2305.18290 Autotrain compatible Base model:finetune:ryanyr/sel... Base model:ryanyr/self-correct... Conversational Dpo Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter2
Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter2 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)
Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter2 Parameters and Internals
| LLM Name | Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter2 |
| Repository 🤗 | https://huggingface.co/RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter2 |
| Model Name | self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter2 |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2024-11-15 |
| Maintainer | RyanYr |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 131073 |
| Torch Data Type | bfloat16 |
Best Alternatives to Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ministral 8B Instruct 2410 HF | 32K / 32 GB | 197 | 10 |
| Ministrations 8B V1 | 32K / 16.1 GB | 65 | 18 |
| Bigger Body 8B | 32K / 16.1 GB | 39 | 2 |
| DeepNeo 1 8B Preview | 32K / 16.1 GB | 21 | 2 |
| Reflect Single Mini8B SftT12 | 32K / 16.1 GB | 256 | 0 |
| Ministral 8B Slerp | 32K / 29.2 GB | 7 | 0 |
| ...ic Mini8bT0GtT1MstllrgT2 SftT2 | 32K / 16.1 GB | 156 | 0 |
| ...ct Mini8B MistlrgOrcl460kSftT2 | 32K / 16.1 GB | 60 | 0 |
| ...ct Mini8B MistlrgOrcl460kSftT1 | 32K / 16.1 GB | 15 | 0 |
| Ava 1.0 8B | 32K / 16.1 GB | 45 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_Ministral-8B-Instruct-2410_metaMathQA_dpo_iter2 .
Rank the Self Correct Ministral 8B Instruct 2410 MetaMathQA DPO Iter2 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! 🌟
What open-source LLMs or SLMs are you in search of? 43470 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227