Falcon 7B Instruct Quant is an open-source language model by rejoicehub. Features: 7b LLM, VRAM: 4GB, Instruction-Based, LLM Explorer Score: 0.14.
Model Card on HF 🤗: https://huggingface.co/rejoicehub/falcon-7b-instruct-quant
Falcon 7B Instruct Quant 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 Quant Parameters and Internals
| LLM Name | Falcon 7B Instruct Quant |
| Repository 🤗 | https://huggingface.co/rejoicehub/falcon-7b-instruct-quant |
| Model Size | 7b |
| Required VRAM | 4 GB |
| Updated | 2026-04-12 |
| Maintainer | rejoicehub |
| Model Type | falcon |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | FalconForCausalLM |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Is Biased | 0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 65024 |
| Torch Data Type | bfloat16 |
Best Alternatives to Falcon 7B Instruct Quant
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Claire 7B FR Instruct 0.1 | 2K / 13.9 GB | 116 | 6 |
| ... Openassistant Toxicity Reduce | 2K / 30.4 GB | 5 | 0 |
| New Falcon | 2K / 4.3 GB | 8 | 1 |
| Claire 7B 0.1 Instruct | 2K / 7.2 GB | 8 | 1 |
| New Falcon | 2K / 4.3 GB | 0 | 0 |
| Falcon 7B Instruct | 0K / 14.4 GB | 53333 | 1032 |
| Falcon 7B Instruct Ft | 0K / 13.9 GB | 5 | 0 |
| Falcon 7B Instruct Sharded | 0K / 27.7 GB | 9165 | 26 |
| Falcon 7B IT Technical Support | 0K / 13.8 GB | 13 | 1 |
| Falcon Tiny Random | 0K / 0 GB | 933 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than rejoicehub/falcon-7b-instruct-quant .
Rank the Falcon 7B Instruct Quant Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a