Upload folder using huggingface_hub (#2)

- edc9ef0cabf00af44efc5e56cccbf0d9a3b0d79f825f2dc70692e9f83e74a1f0 (292c3afb2c82940c4f7575722976de4b2f55b929)
- bc714087f29d34c6eca0113f9c4177d40d81895562d881435bfed25742e0f8af (2b015cbee198f0321a59f2346c5f9bdea2912627)
- cef31589a2e4cea11f1536380d65deb4a134589f259e52b594148cb0b5aafd23 (973dbac88b02b32cb82309edd422e5855faa1c7b)

README.md

@@ -1,5 +1,4 @@
 ---
-library_name: pruna-engine
 thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"
 metrics:
 - memory_disk
@@ -8,6 +7,8 @@ metrics:
 - inference_throughput
 - inference_CO2_emissions
 - inference_energy_consumption
+tags:
+- pruna-ai
 ---
 <!-- header start -->
 <!-- 200823 -->
@@ -33,7 +34,7 @@ metrics:
 
 ## Results
 
-Detailed efficiency metrics coming soon!
+![image info](./plots.png)
 
 **Frequently Asked Questions**
 - ***How does the compression work?*** The model is compressed with llm-int8.
@@ -60,7 +61,7 @@ You can run the smashed model with these steps:
    from transformers import AutoModelForCausalLM, AutoTokenizer
 
     model = AutoModelForCausalLM.from_pretrained("PrunaAI/bigscience-bloomz-7b1-mt-bnb-8bit-smashed",
-                                                 trust_remote_code=True)
+                                                 trust_remote_code=True, device_map='auto')
     tokenizer = AutoTokenizer.from_pretrained("bigscience/bloomz-7b1-mt")
     
     input_ids = tokenizer("What is the color of prunes?,", return_tensors='pt').to(model.device)["input_ids"]

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/tmp/tmpdb9a3pzx",
+  "_name_or_path": "/tmp/tmp87626gn1",
   "apply_residual_connection_post_layernorm": false,
   "architectures": [
     "BloomForCausalLM"
@@ -24,7 +24,7 @@
   "quantization_config": {
     "bnb_4bit_compute_dtype": "bfloat16",
     "bnb_4bit_quant_type": "fp4",
-    "bnb_4bit_use_double_quant": true,
+    "bnb_4bit_use_double_quant": false,
     "llm_int8_enable_fp32_cpu_offload": false,
     "llm_int8_has_fp16_weight": false,
     "llm_int8_skip_modules": [

smash_config.json

@@ -8,7 +8,7 @@
         "compilers": "None",
         "task": "text_text_generation",
         "device": "cuda",
-        "cache_dir": "/ceph/hdd/staff/charpent/.cache/models6g6764p2",
+        "cache_dir": "/ceph/hdd/staff/charpent/.cache/modelsxbkq9tyt",
         "batch_size": 1,
         "model_name": "bigscience/bloomz-7b1-mt",
         "pruning_ratio": 0.0,