model=AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan-13B-Chat",torch_dtype=torch.float16,trust_remote_code=True)model=model.quantize(8).cuda() 同样的,如需使用 int4 量化: model=AutoModelForCausalLM.from_pretrained("baichuan-inc/Baichuan-13B-Chat",torch_dtype=torch.float16,trust_re...
3. General support matrix: Model coverage: allowlisted layers (https://github.com/tensorflow/model-optimization/blob/master/tensorflow_model_optimization/python/core/quantization/keras/default_8bit/default_8bit_quantize_registry.py)中所有支持的layers,以及BatchNormalization when following Conv2D and Depthwi...
我们支持 INT8 和 INT4 类型的量化,可以大幅降低模型加载所需的显存。 INT8 量化: model=AutoModelForCausalLM.from_pretrained("xverse/XVERSE-13B-Chat",torch_dtype=torch.bfloat16,trust_remote_code=True)model=model.quantize(8).cuda() INT4 量化: ...
输出如下: llama_model_quantize: loading model from './models/7B/ggml-model-f16.bin'llama_model_quantize: n_vocab = 32000llama_model_quantize: n_ctx = 512llama_model_quantize: n_embd = 4096llama_model_quantize: n_mult = 256llama_model_quantize: n_head = 32llama_model_quantize: n_laye...
bash 3_run_quantize.sh If everything runs correctly, the quantized model namedquantized.h5will be generated in./quantized/directory. This model can be used as the input of the xcompiler and then deployed on boards. 4. (Optional) Evaluate the quantized model ...
The trained model will be quantized by Intel® Neural Compressor. This tool will apply different parameters & methods to quantize the model and find the best result. Finally, it will output the first INT8 model which match the requirement (better performance and less accuracy...
We quantize the topological u03c3-model. The quantum master equation of the Batalin-Vilkovisky formalism u0394u03c1u03a8=0 appears as a condition which eliminates the exact states from the BRST invariant states u03a8 defined by Qu03a8=0. The phase space of the BV formalism is a superman...
model_quantized_dynamic = quantize_fx.convert_fx(model_prepared) 正如你所看到的,只需要通过模型传递一个示例输入来校准量化层,所以代码十分简单,看看我们的模型对比: print_model_size(model) print_model_size(model_quantized_dynamic) 可以看到的,减少了0.03 MB或者说模型变为了原来的75%,我们可以通过静态模式...
Quantize The current hardware performance is optimal. ☆☆☆ Detection Operators IR Operator Performance and Guide Recommendation Level Permute The hardware is not suitable for too many such operations due to unordered data rearrangement, although related optimizations have been made. ☆☆☆ Detection...
model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().quantize(4).cuda() >>> model = AutoModel.from_pretrained("THUDM/chatglm-6b", trust_remote_code=True).half().quantize(4).cuda() Explicitly passing a`revision`is encouraged when loading a configuration...