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Falcon 7B Instruct GPTQ by 4bit

 »  All LLMs  »  4bit  »  Falcon 7B Instruct GPTQ   URL Share it on

  15   
  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2104.09864   Arxiv:2205.14135   4bit   Autotrain compatible   Custom code Dataset:tiiuae/falcon-refinedw...   En   Gptq   Instruct   Quantized   Refinedwebmodel   Region:us
Model Card on HF 🤗: https://huggingface.co/4bit/falcon-7b-instruct-GPTQ 

Falcon 7B Instruct GPTQ Benchmarks

LLME Score: 0.09164
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B Instruct GPTQ (4bit/falcon-7b-instruct-GPTQ)
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Falcon 7B Instruct GPTQ Parameters and Internals

Model Type 
Causal decoder-only
Additional Notes 
Model optimized for inference with FlashAttention and multiquery, based on Falcon-7B with improvements. Experimental model with limited support and expected slow performance.
Training Details 
Data Sources:
Bai ze, GPT4All, GPTeacher, RefinedWeb-English
Data Volume:
250M tokens
Methodology:
Finetuned on instruct/chat datasets
Context Length:
2048
Hardware Used:
32 A100 40GB GPUs on AWS SageMaker
Model Architecture:
Causal decoder-only with rotary positionnal embeddings, multiquery and FlashAttention, parallel attention/MLP with a single layer norm.
Input Output 
Performance Tips:
Performance expected to be slow due to experimental nature. Improved results with updated AutoGPTQ and specified commit.
Release Notes 
Version:
Experimental GPTQ
Notes:
Quantisation to 4bit using AutoGPTQ. Uses groupsize 64 without act-order.
LLM NameFalcon 7B Instruct GPTQ
Repository 🤗https://huggingface.co/4bit/falcon-7b-instruct-GPTQ 
Base Model(s)  ...on 7B Instruct Finance Advisor   themanas021/falcon-7b-instruct-Finance_Advisor
Model Size7b
Required VRAM5.9 GB
Updated2025-08-19
Maintainer4bit
Model TypeRefinedWebModel
Instruction-BasedYes
Model Files  5.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than 4bit/falcon-7b-instruct-GPTQ.

Rank the Falcon 7B Instruct GPTQ Capabilities

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