Model Card on HF 🤗: https://huggingface.co/Sayantan97/falcon-7b-instruct-4bit-lora
Falcon 7B Instruct 4bit Lora 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)
Falcon 7B Instruct 4bit Lora Parameters and Internals
| LLM Name | Falcon 7B Instruct 4bit Lora |
| Repository 🤗 | https://huggingface.co/Sayantan97/falcon-7b-instruct-4bit-lora |
| Model Size | 7b |
| Required VRAM | 0 GB |
| Updated | 2025-02-05 |
| Maintainer | Sayantan97 |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 4bit |
| Model Architecture | Adapter |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | query_key_value |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 8 |
Best Alternatives to Falcon 7B Instruct 4bit Lora
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral Numericnlg FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Wikitable FV | 0K / 0.3 GB | 5 | 0 |
| Mistral Charttotext FV | 0K / 0.3 GB | 5 | 0 |
| Zephyr 7B Beta Agent Instruct | 0K / 0.3 GB | 11 | 1 |
| Lemonilia ShoriRP V0.75d | 0K / 0.2 GB | 4 | 1 |
| Qwen Megumin | 0K / 0.1 GB | 13 | 0 |
| Deepthink Reasoning Adapter | 0K / 0.2 GB | 39 | 8 |
| Mistral Finetuned Bookcorpus | 0K / 0 GB | 50 | 0 |
| Mistral 7B Instruct Sa V0.1 | 0K / 0 GB | 6 | 0 |
| Mistral 7B V0.1 Emotion | 0K / 1.3 GB | 170 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Sayantan97/falcon-7b-instruct-4bit-lora .
Rank the Falcon 7B Instruct 4bit Lora Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227