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Update README.md #105

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grctest Nov 9, 2024
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8 changes: 4 additions & 4 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -130,14 +130,14 @@ pip install -r requirements.txt
3. Build the project
```bash
# Download the model from Hugging Face, convert it to quantized gguf format, and build the project
python setup_env.py --hf-repo HF1BitLLM/Llama3-8B-1.58-100B-tokens -q i2_s
python setup_env.py --hf-repo HF1BitLLM/Llama3-8B-1.58-100B-tokens -q i2_s -p

# Or you can manually download the model and run with local path
huggingface-cli download HF1BitLLM/Llama3-8B-1.58-100B-tokens --local-dir models/Llama3-8B-1.58-100B-tokens
python setup_env.py -md models/Llama3-8B-1.58-100B-tokens -q i2_s
python setup_env.py -md models/Llama3-8B-1.58-100B-tokens -q i2_s -p
```
<pre>
usage: setup_env.py [-h] [--hf-repo {1bitLLM/bitnet_b1_58-large,1bitLLM/bitnet_b1_58-3B,HF1BitLLM/Llama3-8B-1.58-100B-tokens}] [--model-dir MODEL_DIR] [--log-dir LOG_DIR] [--quant-type {i2_s,tl1}] [--quant-embd]
usage: setup_env.py [-h] [--hf-repo {1bitLLM/bitnet_b1_58-large,1bitLLM/bitnet_b1_58-3B,HF1BitLLM/Llama3-8B-1.58-100B-tokens}] [--model-dir MODEL_DIR] [--log-dir LOG_DIR] [--quant-type {i2_s,tl1,tl2}] [--quant-embd]
[--use-pretuned]

Setup the environment for running inference
Expand All @@ -150,7 +150,7 @@ optional arguments:
Directory to save/load the model
--log-dir LOG_DIR, -ld LOG_DIR
Directory to save the logging info
--quant-type {i2_s,tl1}, -q {i2_s,tl1}
--quant-type {i2_s,tl1,tl2}, -q {i2_s,tl1,tl2}
Quantization type
--quant-embd Quantize the embeddings to f16
--use-pretuned, -p Use the pretuned kernel parameters
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