8-bit 8bit Autotrain compatible Custom code Endpoints compatible Pytorch Quantized Refinedwebmodel Region:us
Model Card on HF 🤗: https://huggingface.co/cambioml/falcon-7b-8bit
Falcon 7B 8bit 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 8bit Parameters and Internals
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| LLM Name | Falcon 7B 8bit |
| Repository 🤗 | https://huggingface.co/cambioml/falcon-7b-8bit |
| Model Size | 7b |
| Required VRAM | 7.2 GB |
| Updated | 2025-09-23 |
| Maintainer | cambioml |
| Model Type | RefinedWebModel |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | RWForCausalLM |
| Transformers Version | 4.31.0.dev0 |
| Is Biased | 0 |
| Vocabulary Size | 65024 |
| Torch Data Type | float16 |
Best Alternatives to Falcon 7B 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Falcon 7B Instruct 8bit | 0K / 7.2 GB | 10 | 0 |
| Falcon 7B 8bit | 0K / 7.2 GB | 9 | 0 |
| Openbuddy Falcon 7B V5 Fp16 | 0K / 14.5 GB | 10 | 47 |
| Aguila 7B 8bit | 2K / 7.7 GB | 5 | 1 |
| Aguila Falcon InstruCATPlus | 2K / 13.7 GB | 10 | 0 |
| Aguila Falcon Instrucat | 2K / 13.7 GB | 25 | 0 |
| Falcon Aguila Meteocatv2 | 2K / 13.7 GB | 6 | 0 |
| Falcon Aguila Meteocat | 2K / 13.7 GB | 22 | 0 |
| Aguila 7B | 2K / 13.7 GB | 51 | 64 |
| Testing6000v2 | 0K / 15.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than cambioml/falcon-7b-8bit .
Rank the Falcon 7B 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124