4bit Base model:unsloth/gemma-7b-bn... En Endpoints compatible Gemma License:apache-2.0 Lora Quantized Region:us Safetensors Trl Unsloth
Rank the Swahili Gemma Lora Capabilities
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Best Alternatives to Swahili Gemma Lora
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Mistral 7B V0.1 GGUF | 60.1 | 0K / 2.7 GB | 176 | 0 |
| Mistral 7B V0.1 GGUF | 60.1 | 0K / 3.1 GB | 8214 | 237 |
| Mistral 7B V0.1 GGUF | 60.1 | 0K / 4.4 GB | 47 | 0 |
| ...edia Ru Pruned 0.1 Merged GGUF | 60.1 | 0K / 7.7 GB | 43 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 54.6 | 0K / 2.7 GB | 198 | 1 |
| Mistral 7B Instruct V0.1 GGUF | 54.6 | 0K / 3.1 GB | 57481 | 495 |
| Notus 7B V1 GGUF | 52.8 | 0K / 2.7 GB | 193 | 0 |
| Notus 7B V1 GGUF | 52.8 | 0K / 3.1 GB | 625 | 23 |
| Vicuna 7B V1.5 GGUF | 48.5 | 0K / 2.8 GB | 1880 | 15 |
| Vicuna 7B V1.5 GGML | 48.5 | 0K / 2.9 GB | 3 | 14 |
Note: green Score (e.g. "73.2") means that the model is better than Mollel/Swahili_Gemma_Lora .
Swahili Gemma Lora Parameters and Internals
| LLM Name | Swahili Gemma Lora |
| Repository | Open on 🤗 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 0.2 GB |
| Updated | 2024-07-05 |
| Maintainer | Mollel |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Model Max Length | 8192 |
| Is Biased | none |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | o_proj|gate_proj|v_proj|down_proj|up_proj|q_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801