Upload folder using huggingface_hub (#3)

- 81a7c397b132e1acfa16cdfb06990e35555d7d068b5b58a90177289e4e4360dc (c233ecb4c25be55265a8aa3370ebc90e7ee6a6f0)

README.md

@@ -34,7 +34,7 @@ tags:
 
 ## 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.
@@ -61,7 +61,7 @@ You can run the smashed model with these steps:
    from transformers import AutoModelForCausalLM, AutoTokenizer
 
     model = AutoModelForCausalLM.from_pretrained("PrunaAI/HuggingFaceH4-tiny-random-LlamaForCausalLM-bnb-4bit-smashed",
-                                                 trust_remote_code=True)
+                                                 trust_remote_code=True, device_map='auto')
     tokenizer = AutoTokenizer.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM")
     
     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/tmppj1x7ve6",
+  "_name_or_path": "/tmp/tmpe50s1b1b",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -21,7 +21,7 @@
   "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": [

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82eea83b34569e27a51e4374ec50754fbf8b248a136a6f83f0d5faa44ca55e51
-size 2080106
+oid sha256:55914a5e90e70b4297b8db2843b7bfb0ba47b67ce26a43aeff1cc4830876a754
+size 2061606

smash_config.json

@@ -8,7 +8,7 @@
         "compilers": "None",
         "task": "text_text_generation",
         "device": "cuda",
-        "cache_dir": "/ceph/hdd/staff/charpent/.cache/modelsyhj1ksbd",
+        "cache_dir": "/ceph/hdd/staff/charpent/.cache/modelsqjyk4_4g",
         "batch_size": 1,
         "model_name": "HuggingFaceH4/tiny-random-LlamaForCausalLM",
         "pruning_ratio": 0.0,