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Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project
Spydaz Web AI ChatQA Reasoning101 Project 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)
Spydaz Web AI ChatQA Reasoning101 Project Parameters and Internals
| LLM Name | Spydaz Web AI ChatQA Reasoning101 Project |
| Repository 🤗 | https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-16 |
| Maintainer | LeroyDyer |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en sw ig so es ca xh zu ha tw af hi bm su |
| Model Architecture | MistralForCausalLM |
| Context Length | 524288 |
| Model Max Length | 524288 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_ChatQA_Reasoning101_Project .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217