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🔀 #555 - Add Falcon-Edge support

Author ikawrakow
State ❌ Closed
Created 2025-06-25
Updated 2025-06-26

Description

Closes #551

How to use:

  1. Grab a GGUF containing Microsoft's i2_s quant packing. E.g.,
huggingface-cli download --local-dir falcon tiiuae/Falcon-E-3B-Instruct-GGUF
  1. Convert to ik_llama.cpp quants iq2_bn or iq1_bn. iq2_bn uses 2 bits per weight (bpw), iq1_bn uses 1.625 bpw. iq2_bn is faster for prompt processing, and may also be faster for token generation (TG) on devices with limited computing power. iq1_bn uses 20% less RAM, so that if TG is memory bound, it will be slightly faster than iq2_bn. Command to convert is
./bin/llama-quantize --allow-requantize falcon/ggml-model-i2_s.gguf falcon_iq2_bn.gguf iq2_bn

(replace iq2_bn with iq1_bn if you prefer the smaller variant.

  1. Utilize the just created model file in the usual way with llama-cli, llama-server, etc.