Merged Model Arxiv:1910.09700 16bit Autotrain compatible Conversational Endpoints compatible Mistral Quantized Region:us Safetensors Sharded Tensorflow Unsloth
AI Tutor 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)
AI Tutor Parameters and Internals
| LLM Name | AI Tutor |
| Repository 🤗 | https://huggingface.co/matrs01/AI_tutor |
| Merged Model | Yes |
| Model Size | 7.2b |
| Required VRAM | 14.5 GB |
| Updated | 2024-09-07 |
| Maintainer | matrs01 |
| Model Type | mistral |
| Model Files | |
| Quantization Type | 16bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [control_768] |
| Vocabulary Size | 32768 |
| Torch Data Type | float16 |
Best Alternatives to AI Tutor
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Zephyr DPO V2 | 32K / 14.4 GB | 1216 | 1 |
| Rezephyr DPO | 32K / 14.4 GB | 6 | 0 |
| Spydaz Web AI 08 | 512K / 14.5 GB | 66 | 1 |
| Spydaz Web AI ChatQA 001 SFT | 512K / 14.4 GB | 0 | 1 |
| Spydaz Web AI ChatQA 001 UFT | 512K / 14.4 GB | 0 | 1 |
| Spydaz Web AI ChatML 002 | 512K / 14.4 GB | 19 | 0 |
| Spydaz Web AI ChatQA 001 | 512K / 14.4 GB | 11 | 1 |
| Openchat 3.5 0106 128K DPO | 128K / 14.4 GB | 56 | 2 |
| Mistral7B PairRM SPPO Iter2 | 32K / 14.4 GB | 4956 | 1 |
| Mistral7B PairRM SPPO Iter3 | 32K / 14.4 GB | 4949 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than matrs01/AI_tutor .
Rank the AI Tutor Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803