4-bit Adapter Base model:adapter:thebloke/ze... Base model:thebloke/zephyr-7b-... Conversational Dataset:joelniklaus/legal case... Finetuned Generated from trainer Gptq Lora Mistral Peft Quantized Region:us Safetensors Sft Tensorboard Trl
Zephyr Finetuned Legal 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 Finetuned Legal Parameters and Internals
| LLM Name | Zephyr Finetuned Legal |
| Repository 🤗 | https://huggingface.co/Feluda/zephyr-finetuned-legal |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2024-09-19 |
| Maintainer | Feluda |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | Adapter |
| License | mit |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|v_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Zephyr Finetuned Legal
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Term Qwen2 7 Json Lora | 0K / 0.1 GB | 6 | 0 |
| LMS Chatbot | 0K / 0 GB | 5 | 0 |
| Llama 2 7B Chat Text2code | 0K / 0 GB | 7 | 4 |
| Zephyr 7B Alpha GPTQ | 0K / 0 GB | 5 | 1 |
| Selfbot 256 Mistral | 0K / 0.4 GB | 5 | 0 |
| Thesa | 0K / 0 GB | 3 | 1 |
| Futadom Mistral | 0K / 0.2 GB | 1 | 1 |
| Humiliation Mistral | 0K / 0.2 GB | 0 | 1 |
| Typhoon 7B Chat Alpaca | 0K / 0 GB | 31 | 4 |
| Mistral MetaMath007 | 0K / 0 GB | 1 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Feluda/zephyr-finetuned-legal .
Rank the Zephyr Finetuned Legal Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803