mirror of
https://github.com/ggerganov/llama.cpp.git
synced 2025-01-10 20:40:24 +01:00
1c641e6aac
* `main`/`server`: rename to `llama` / `llama-server` for consistency w/ homebrew * server: update refs -> llama-server gitignore llama-server * server: simplify nix package * main: update refs -> llama fix examples/main ref * main/server: fix targets * update more names * Update build.yml * rm accidentally checked in bins * update straggling refs * Update .gitignore * Update server-llm.sh * main: target name -> llama-cli * Prefix all example bins w/ llama- * fix main refs * rename {main->llama}-cmake-pkg binary * prefix more cmake targets w/ llama- * add/fix gbnf-validator subfolder to cmake * sort cmake example subdirs * rm bin files * fix llama-lookup-* Makefile rules * gitignore /llama-* * rename Dockerfiles * rename llama|main -> llama-cli; consistent RPM bin prefixes * fix some missing -cli suffixes * rename dockerfile w/ llama-cli * rename(make): llama-baby-llama * update dockerfile refs * more llama-cli(.exe) * fix test-eval-callback * rename: llama-cli-cmake-pkg(.exe) * address gbnf-validator unused fread warning (switched to C++ / ifstream) * add two missing llama- prefixes * Updating docs for eval-callback binary to use new `llama-` prefix. * Updating a few lingering doc references for rename of main to llama-cli * Updating `run-with-preset.py` to use new binary names. Updating docs around `perplexity` binary rename. * Updating documentation references for lookup-merge and export-lora * Updating two small `main` references missed earlier in the finetune docs. * Update apps.nix * update grammar/README.md w/ new llama-* names * update llama-rpc-server bin name + doc * Revert "update llama-rpc-server bin name + doc" This reverts commit e474ef1df481fd8936cd7d098e3065d7de378930. * add hot topic notice to README.md * Update README.md * Update README.md * rename gguf-split & quantize bins refs in **/tests.sh --------- Co-authored-by: HanClinto <hanclinto@gmail.com>
quantize
You can also use the GGUF-my-repo space on Hugging Face to build your own quants without any setup.
Note: It is synced from llama.cpp main
every 6 hours.
Llama 2 7B
Quantization | Bits per Weight (BPW) |
---|---|
Q2_K | 3.35 |
Q3_K_S | 3.50 |
Q3_K_M | 3.91 |
Q3_K_L | 4.27 |
Q4_K_S | 4.58 |
Q4_K_M | 4.84 |
Q5_K_S | 5.52 |
Q5_K_M | 5.68 |
Q6_K | 6.56 |
Llama 2 13B
Quantization | Bits per Weight (BPW) |
---|---|
Q2_K | 3.34 |
Q3_K_S | 3.48 |
Q3_K_M | 3.89 |
Q3_K_L | 4.26 |
Q4_K_S | 4.56 |
Q4_K_M | 4.83 |
Q5_K_S | 5.51 |
Q5_K_M | 5.67 |
Q6_K | 6.56 |
Llama 2 70B
Quantization | Bits per Weight (BPW) |
---|---|
Q2_K | 3.40 |
Q3_K_S | 3.47 |
Q3_K_M | 3.85 |
Q3_K_L | 4.19 |
Q4_K_S | 4.53 |
Q4_K_M | 4.80 |
Q5_K_S | 5.50 |
Q5_K_M | 5.65 |
Q6_K | 6.56 |