f7e02cddd4325aa2efb2f80b1375e090f8629e4017e5519bd04fe6d47883c4c8
Browse files- README.md +4 -3
- config.json +2 -2
- model.safetensors +2 -2
- plots.png +0 -0
- smash_config.json +1 -1
README.md
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---
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library_name: pruna-engine
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thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
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metrics:
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- memory_disk
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- inference_throughput
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- inference_CO2_emissions
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- inference_energy_consumption
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---
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<!-- header start -->
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<!-- 200823 -->
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## Results
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**Frequently Asked Questions**
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- ***How does the compression work?*** The model is compressed with llm-int8.
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("PrunaAI/Salesforce-codegen-350M-nl-bnb-4bit-smashed",
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trust_remote_code=True)
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tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-350M-nl")
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input_ids = tokenizer("What is the color of prunes?,", return_tensors='pt').to(model.device)["input_ids"]
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---
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thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
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metrics:
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- memory_disk
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- inference_throughput
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- inference_CO2_emissions
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- inference_energy_consumption
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tags:
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- pruna-ai
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---
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<!-- header start -->
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<!-- 200823 -->
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## Results
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![image info](./plots.png)
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**Frequently Asked Questions**
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- ***How does the compression work?*** The model is compressed with llm-int8.
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("PrunaAI/Salesforce-codegen-350M-nl-bnb-4bit-smashed",
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trust_remote_code=True, device_map='auto')
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tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-350M-nl")
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input_ids = tokenizer("What is the color of prunes?,", return_tensors='pt').to(model.device)["input_ids"]
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config.json
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{
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"_name_or_path": "/tmp/
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"activation_function": "gelu_new",
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"architectures": [
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"CodeGenForCausalLM"
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"quantization_config": {
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_type": "fp4",
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"bnb_4bit_use_double_quant":
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": [
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{
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"_name_or_path": "/tmp/tmp8i8rsldo",
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"activation_function": "gelu_new",
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"architectures": [
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"CodeGenForCausalLM"
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"quantization_config": {
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"bnb_4bit_compute_dtype": "bfloat16",
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"bnb_4bit_quant_type": "fp4",
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"bnb_4bit_use_double_quant": false,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": [
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f212d0f61c7f08b340635a0eb8b32d3c67a0e7cf267bdf34eb9a84c92f784de5
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size 351723280
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plots.png
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smash_config.json
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"compilers": "None",
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"task": "text_text_generation",
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"device": "cuda",
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"cache_dir": "/ceph/hdd/staff/charpent/.cache/
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"batch_size": 1,
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"model_name": "Salesforce/codegen-350M-nl",
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"pruning_ratio": 0.0,
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"compilers": "None",
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"task": "text_text_generation",
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"device": "cuda",
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"cache_dir": "/ceph/hdd/staff/charpent/.cache/modelsaw7dicd4",
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"batch_size": 1,
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"model_name": "Salesforce/codegen-350M-nl",
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"pruning_ratio": 0.0,
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