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https://github.com/ggerganov/llama.cpp.git
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1442677f92
* common : gpt_params_parse do not print usage * common : rework usage print (wip) * common : valign * common : rework print_usage * infill : remove cfg support * common : reorder args * server : deduplicate parameters ggml-ci * common : add missing header ggml-ci * common : remote --random-prompt usages ggml-ci * examples : migrate to gpt_params ggml-ci * batched-bench : migrate to gpt_params * retrieval : migrate to gpt_params * common : change defaults for escape and n_ctx * common : remove chatml and instruct params ggml-ci * common : passkey use gpt_params |
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.. | ||
CMakeLists.txt | ||
quantize.cpp | ||
README.md | ||
tests.sh |
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 |