4bit Adapter Base model:adapter:huggingface... Base model:huggingfaceh4/zephy... Dataset:thudm/agentinstruct En Finetuned Instruct Lora Peft Pretrained Qlora Quantized Region:us Safetensors
Zephyr 7B Beta Agent Instruct 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)
Zephyr 7B Beta Agent Instruct Parameters and Internals
| Model Type |
|
| LLM Name | Zephyr 7B Beta Agent Instruct |
| Repository 🤗 | https://huggingface.co/kingabzpro/zephyr-7b-beta-Agent-Instruct |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.3 GB |
| Updated | 2024-11-21 |
| Maintainer | kingabzpro |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| License | apache-2.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|base_layer|down_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 64 |
Best Alternatives to Zephyr 7B Beta Agent Instruct
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| Mistral Numericnlg FV | 0K / 0.3 GB | 5 | 0 |
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| Falcon 7B Instruct 4bit Lora | 0K / 0 GB | 0 | 1 |
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| ...82 6142 45d8 9455 Bc68ca4866eb | 0K / 1.2 GB | 6 | 0 |
| Text To Rule Mistral 2 | 0K / 0.3 GB | 6 | 0 |
| ...al 7B Instruct V0.3 1719301256 | 0K / 0.9 GB | 9 | 0 |
| ...al 7B Instruct V0.3 1719297750 | 0K / 0.4 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than kingabzpro/zephyr-7b-beta-Agent-Instruct .
Rank the Zephyr 7B Beta Agent Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110