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Spydaz Web AI ChatQA 002 4 BIT 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 002 4 BIT Parameters and Internals
| LLM Name | Spydaz Web AI ChatQA 002 4 BIT |
| Repository 🤗 | https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_002_4_BIT |
| Base Model(s) | |
| Model Size | 3.9b |
| Required VRAM | 4.1 GB |
| Updated | 2024-09-19 |
| 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 |
Best Alternatives to Spydaz Web AI ChatQA 002 4 BIT
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| Spydaz Web AI 02 4 BIT | 32K / 4.1 GB | 28 | 0 |
| ...pydaz Web AI ChatQA BASE 4 BIT | 32K / 4.1 GB | 18 | 0 |
| Mistral MoE Lora | 32K / 4.1 GB | 5 | 1 |
Rank the Spydaz Web AI ChatQA 002 4 BIT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803