4bit Autotrain compatible Custom code Endpoints compatible Gptq Instruct Pytorch Quantized Refinedwebmodel Region:us
Model Card on HF 🤗: https://huggingface.co/Yhyu13/falcon-7b-instruct-autogptq
Falcon 7B Instruct Autogptq 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 Autogptq Parameters and Internals
| Additional Notes |
|
| LLM Name | Falcon 7B Instruct Autogptq |
| Repository 🤗 | https://huggingface.co/Yhyu13/falcon-7b-instruct-autogptq |
| Model Size | 7b |
| Required VRAM | 4.8 GB |
| Updated | 2025-08-20 |
| Maintainer | Yhyu13 |
| Model Type | RefinedWebModel |
| Instruction-Based | Yes |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | RWForCausalLM |
| License | apache-2.0 |
| Model Max Length | 2048 |
| Transformers Version | 4.29.1 |
| Is Biased | 0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 65024 |
| Torch Data Type | bfloat16 |
Best Alternatives to Falcon 7B Instruct Autogptq
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Falcon 7B Instruct GPTQ | 0K / 5.9 GB | 230 | 67 |
| Falcon 7B Instruct GPTQ | 0K / 5.9 GB | 15 | 4 |
| Falcon 7B Instruct 8bit | 0K / 7.2 GB | 16 | 0 |
| Ct2 Int8 Falcon 7B Instruct | 0K / GB | 6 | 0 |
| Falcon 7b Python Instructions | 0K / 13.8 GB | 6 | 1 |
| Docsgpt 7B Falcon | 0K / 13.8 GB | 25 | 15 |
| Falcon 7B Instruct V2 | 0K / 28.9 GB | 14 | 1 |
| ... Falcon 7B Instruct W4 G64 AWQ | 0K / 4.2 GB | 17 | 5 |
| Vigogne Falcon 7B Instruct | 0K / 14.4 GB | 13 | 1 |
| Falcon 7B Finance | 0K / 13.8 GB | 14 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than Yhyu13/falcon-7b-instruct-autogptq .
Rank the Falcon 7B Instruct Autogptq Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124