Adapter Alignment-handbook Base model:dual-gpo/zephyr-7b-... Dataset:huggingfaceh4/ultrafee... Dpo Finetuned Generated from trainer License:mit Lora Mistral Peft Region:us Safetensors Tensorboard Trl
Zephyr 7B Gpo V5 I1 Benchmarks
ARC: 65.44 vs 96.7 (so35)-32.3%
HellaSwag: 85.52 vs 95.3 (gpt4)-10.3%
MMLU: 62.14 vs 88.3 (so35)-29.6%
TruthfulQA: 51.82 vs 59 (gpt4)-12.2%
WinoGrande: 79.56 vs 87.5 (gpt4)-9.1%
GSM8K: 31.61 vs 96.4 (so35)-67.2%
LLME Score: 0.21723
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 Gpo V5 I1 Parameters and Internals
| LLM Name | Zephyr 7B Gpo V5 I1 |
| Repository 🤗 | https://huggingface.co/DUAL-GPO/zephyr-7b-gpo-v5-i1 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.7 GB |
| Updated | 2024-07-16 |
| Maintainer | DUAL-GPO |
| Model Files | |
| Model Architecture | Adapter |
| License | mit |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | q_proj|gate_proj|o_proj|up_proj|down_proj|k_proj|v_proj |
| LoRA Alpha | 128 |
| LoRA Dropout | 0.05 |
| R Param | 128 |
Best Alternatives to Zephyr 7B Gpo V5 I1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| CodeAstra 7B | 0K / 0 GB | 541 | 8 |
| Qwen1.5 7B Chat Sa V0.1 | 0K / 0 GB | 5 | 0 |
| Magicoder | 0K / 0 GB | 10713 | 10 |
| Deepseek Llm 7B Chat Sa V0.1 | 0K / 0 GB | 5 | 0 |
| ...eze Embed Tokens Q V Proj Lora | 0K / 0.1 GB | 2 | 1 |
| Glue Sst2 | 0K / 0 GB | 10327 | 1 |
| Llamaduo Synth Ds V0.1 | 0K / 0.2 GB | 9 | 1 |
| Storytell | 0K / 0 GB | 8 | 0 |
| Zephyr 7B Gpo V6 I1 | 0K / 0.7 GB | 5 | 0 |
| Mistral 7B V0.1 AviationQA | 0K / 1.3 GB | 145 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than DUAL-GPO/zephyr-7b-gpo-v5-i1 .
Rank the Zephyr 7B Gpo V5 I1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110