Gemma 7B Lora Distilabel Intel Orca DPO Pairs is an open-source language model by glenn2. Features: 2b LLM, License: mit, HF Score: 46.5, LLM Explorer Score: 0.15, Arc: 49.2, HellaSwag: 71.8, MMLU: 41.5, TruthfulQA: 33.1, WinoGrande: 66, GSM8K: 17.3.
Adapter Base model:adapter:google/gemm... Base model:google/gemma-2b Dpo Finetuned Generated from trainer Lora Peft Region:us Safetensors Trl
Model Card on HF 🤗: https://huggingface.co/glenn2/gemma-7b-lora-distilabel-intel-orca-dpo-pairs
Gemma 7B Lora Distilabel Intel Orca DPO Pairs Benchmarks
ARC: 49.15 vs 96.7 (so35)-49.2%
HellaSwag: 71.78 vs 95.3 (gpt4)-24.7%
MMLU: 41.52 vs 88.3 (so35)-53%
TruthfulQA: 33.1 vs 59 (gpt4)-43.9%
WinoGrande: 65.98 vs 87.5 (gpt4)-24.6%
GSM8K: 17.29 vs 96.4 (so35)-82.1%
LLME Score: 0.15326
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)
Gemma 7B Lora Distilabel Intel Orca DPO Pairs Parameters and Internals
| LLM Name | Gemma 7B Lora Distilabel Intel Orca DPO Pairs |
| Repository 🤗 | https://huggingface.co/glenn2/gemma-7b-lora-distilabel-intel-orca-dpo-pairs |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 0 GB |
| Updated | 2026-04-09 |
| Maintainer | glenn2 |
| Model Files | |
| Model Architecture | Adapter |
| License | mit |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | gate_proj|q_proj|up_proj|o_proj|v_proj|down_proj|k_proj |
| LoRA Alpha | 8 |
| LoRA Dropout | 0 |
| R Param | 8 |
Best Alternatives to Gemma 7B Lora Distilabel Intel Orca DPO Pairs
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Finetuned Gemma3 | 8K / 5.1 GB | 8 | 0 |
| Gemma 2 2B It Dolly 15K | 0K / 0.1 GB | 5 | 0 |
| Openhermes 2B Gemma Sft Qlora | 0K / 0 GB | 8 | 0 |
| Phi Gemma Nlaf V1 | 0K / 0.1 GB | 6 | 0 |
| Gemma Nlaf V1 | 0K / 0 GB | 5 | 0 |
| Phi Gemma Nlaf V0 | 0K / 0.1 GB | 5 | 0 |
| Gemma 2B Nlaf V0 | 0K / 0 GB | 5 | 0 |
| Gemma 2B It Nlai P1 | 0K / 0 GB | 9 | 0 |
| Zephyr 2B Gemma Sft Qlora | 0K / 0 GB | 10 | 0 |
| Gemma 2 2B Norobots | 0K / 0.1 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than glenn2/gemma-7b-lora-distilabel-intel-orca-dpo-pairs .
Rank the Gemma 7B Lora Distilabel Intel Orca DPO Pairs Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a