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Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ActionQA_Project
Spydaz Web AI ActionQA 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 ActionQA Project Parameters and Internals
| LLM Name | Spydaz Web AI ActionQA Project |
| Repository 🤗 | https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ActionQA_Project |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-06 |
| 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 |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
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| ...ty Instruct 3M 0625 Mistral 7B | 32K / 14.4 GB | 5435 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_ActionQA_Project .
Rank the Spydaz Web AI ActionQA Project Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124