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llama.cpp modification to run Falcon (work in progress) llama.cpp modification to run Falcon (work in progress)
Status/Bugs: **The Bloke features a well known fine tuned variants with quantization:**
* Quantization with QK_ type appear to fail on 7B models. (Q_ works on both, QK_ works on 40B) https://huggingface.co/TheBloke/falcon-40b-instruct-GGML
https://huggingface.co/TheBloke/WizardLM-Uncensored-Falcon-40B-GGML
**The official HF models are here:**
https://huggingface.co/tiiuae/falcon-40b/
https://huggingface.co/tiiuae/falcon-7b/
https://huggingface.co/tiiuae/falcon-40b-instruct
https://huggingface.co/tiiuae/falcon-7b-instruct
**Conversion:**
1) use falcon_convert_demo.py to produce a GGMLv0 binary from HF - not recommended to be used directly
2) use examples/falcon_quantize to convert these into GGMLv3 binaries of your choice including mmap support from there on
_Important: The Falcon 7B model features tensor sizes that do not support K-type quantizers - use the traditional quantization for those_
**Status/Bugs:**
* CUDA-integration branch demo ready * CUDA-integration branch demo ready
* python conversion script is very basic (produces ggml v0) * python conversion script is very basic (produces ggml v0)
* On linux Q5_1 7B user reports a batch token ingestion context memory issue, with -b 1 it's gone. Not reproduced on Windows * On linux Q5_1 7B user reports a batch token ingestion context memory issue, with -b 1 it's gone. Not reproduced on Windows
* VRAM scratch/overhead calculation on CUDA can fail - if GPU RAM fills to 100% manually reduce the layers of --ngl until it fits
CUDA (cuda-integration branch, not in master yet):
**CUDA (cuda-integration branch, not in master yet):**
Only some tensors supported currently, only mul_mat operation supported currently Only some tensors supported currently, only mul_mat operation supported currently
q3_k timing on 3090 of Falcon 40B: q3_k timing on 3090 of Falcon 40B:
falcon_print_timings: prompt eval time = 702.55 ms / 3 tokens ( 234.18 ms per token) falcon_print_timings: prompt eval time = 702.55 ms / 3 tokens ( 234.18 ms per token)