4-bit Autotrain compatible Base model:leroydyer/ spydaz w... Base model:quantized:leroydyer... Bitsandbytes Conversational Dataset:kbsdjames/omni-math Dataset:meta-math/metamathqa Dataset:nexusai-tddi/openorca-... Dataset:verifiers-for-code/dee... Dataset:vezora/open-critic-gpt En Endpoints compatible Mistral Region:us Safetensors Sft Trl Unsloth
Spydaz Web AI ChatQA 006 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 006 4 BIT Parameters and Internals
| LLM Name | Spydaz Web AI ChatQA 006 4 BIT |
| Repository 🤗 | https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_ChatQA_006_4_BIT |
| Base Model(s) | |
| Model Size | 3.9b |
| Required VRAM | 4.1 GB |
| Updated | 2024-10-10 |
| Maintainer | LeroyDyer |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 524288 |
| Model Max Length | 524288 |
| Transformers Version | 4.45.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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| ...ydaz Web AI ChatQA 002r1 4 BIT | 512K / 4.1 GB | 52 | 0 |
| ...Spydaz Web AI ChatQA 002 4 BIT | 512K / 4.1 GB | 24 | 0 |
| Spydaz Web AI 02 4 BIT | 32K / 4.1 GB | 28 | 0 |
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| Spydaz Web AI 03 4 BIT | 32K / 4.1 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_ChatQA_006_4_BIT .
Rank the Spydaz Web AI ChatQA 006 4 BIT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110