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Spydaz Web AI ChatQA 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 Parameters and Internals
| LLM Name | Spydaz Web AI ChatQA |
| Repository 🤗 | https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 14.4 GB |
| Updated | 2024-09-16 |
| Maintainer | LeroyDyer |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en sw ig zu |
| Model Architecture | MistralForCausalLM |
| License | mit |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Spydaz Web AI ChatQA
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Spydaz Web AI 08 | 512K / 14.5 GB | 75 | 1 |
| Spydaz Web AI ChatQA 001 UFT | 512K / 14.4 GB | 27 | 1 |
| Spydaz Web AI ChatQA 001 SFT | 512K / 14.4 GB | 22 | 1 |
| Spydaz Web AI ChatQA 001 | 512K / 14.4 GB | 17 | 1 |
| Spydaz Web AI 010 | 512K / 14.5 GB | 14 | 0 |
| Mixtral AI CyberTron Ultra | 32K / 14.4 GB | 0 | 0 |
| WestlakeMaziyar 7B Slerp | 32K / 14.5 GB | 27 | 0 |
| Instruction Synthesizer | 32K / 28.9 GB | 697 | 67 |
| ... Alpha Instruction Tuned SLERP | 32K / 14.5 GB | 2695 | 0 |
| Zion Alpha Instruction Tuned | 32K / 14.5 GB | 2694 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_ChatQA .
Rank the Spydaz Web AI ChatQA Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803