| Model Type |
| ||||||
| Additional Notes |
| ||||||
| Training Details |
|
| LLM Name | Qwen2 7B WAEMU Africa Banking Analysis |
| Repository ๐ค | https://huggingface.co/Svngoku/Qwen2-7b-WAEMU-Africa-Banking-Analysis |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-09-23 |
| Maintainer | Svngoku |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | AutoModelForCausalLM |
| License | mit |
| Model Max Length | 131072 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | v_proj|k_proj|q_proj|o_proj|down_proj|up_proj|gate_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 8K Sports | 0K / 15.2 GB | 14 | 0 |
| WorldBuilder 7B | 0K / 14.5 GB | 0 | 1 |
| Unsloth Alpaca | 0K / 14.5 GB | 5 | 0 |
| Gemma 7B Bnb 4bit | 0K / 17.1 GB | 5 | 0 |
| Mistral 7B V0.3 | 0K / 14.5 GB | 5 | 0 |
| Mistralbasket1 | 0K / 0.2 GB | 7 | 0 |
| Refined Llama3 | 0K / 0.2 GB | 6 | 0 |
| Gemma Unsloth Alpaca | 0K / 17.1 GB | 7 | 2 |
| Mistral 7B Instruct 4bit | 0K / 0.2 GB | 4 | 1 |
| Qwen 2 Healthcare Checkpoint 1 | 0K / 15.2 GB | 0 | 0 |
๐ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐