Arxiv:1910.09700 Adapter Base model:aculi/tinyllama-2b Base model:adapter:aculi/tinyl... Finetuned Lora Peft Region:us Safetensors
German 2B Lora 6K 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)
German 2B Lora 6K Parameters and Internals
| LLM Name | German 2B Lora 6K |
| Repository 🤗 | https://huggingface.co/Fischerboot/german-2b-lora-6k |
| Base Model(s) | |
| Model Size | 2b |
| Required VRAM | 0 GB |
| Updated | 2024-09-02 |
| Maintainer | Fischerboot |
| Model Files | |
| Model Architecture | Adapter |
| Model Max Length | 2048 |
| Is Biased | none |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|k_proj|v_proj|q_proj|gate_proj|down_proj|up_proj |
| LoRA Alpha | 24 |
| LoRA Dropout | 0.05 |
| R Param | 48 |
Best Alternatives to German 2B Lora 6K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Finetuned Gemma3 | 8K / 5.1 GB | 6 | 0 |
| Gemma 2 2B It Ud | 0K / 0 GB | 42 | 2 |
| Phi Gemma Nlaf V1 | 0K / 0.1 GB | 6 | 0 |
| Phi Gemma Nlaf V0 | 0K / 0.1 GB | 5 | 0 |
| Gemma 2B It Nlai P1 | 0K / 0 GB | 5 | 0 |
| 1 8K Adater Ger | 0K / 0 GB | 8 | 0 |
| Ger Lora 3K Checkpoint | 0K / 0 GB | 8 | 0 |
| 2B Lora Adapter Llama Alpaca | 0K / 0.1 GB | 7 | 0 |
| Google Gemma 2B 1719882571 | 0K / 0 GB | 6 | 0 |
| Google Gemma 2B 1719898662 | 0K / 0 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Fischerboot/german-2b-lora-6k .
Rank the German 2B Lora 6K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803