Upload folder using huggingface_hub (#4)

- e91e067964e52ec5c304cfeb76643c08688b12cb46d77675133b86ddc9a9d496 (d6cd5cf1c5be4f203b558a6c39be8164a13ba767)

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/openai-community-gpt2-bnb-4bit-smashed",
-                                                 trust_remote_code=True)
+                                                 trust_remote_code=True, device_map='auto')
     tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")
     
     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/tmpl_miijf3",
+  "_name_or_path": "/tmp/tmp5fybkqav",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -20,7 +20,7 @@
   "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 sha256:08d5e12ed911fa785163a4fc28c1715cd54102806e56ed70cfa4540ae0640219
-size 122927378
+oid sha256:7fea19c66e89f08ca30f8c04f0ad1f4dc3f02ef5a6da601b6fcac98af3196e93
+size 126824188

smash_config.json

@@ -8,7 +8,7 @@
         "compilers": "None",
         "task": "text_text_generation",
         "device": "cuda",
-        "cache_dir": "/ceph/hdd/staff/charpent/.cache/models55vp7gu9",
+        "cache_dir": "/ceph/hdd/staff/charpent/.cache/models0xek7rmb",
         "batch_size": 1,
         "model_name": "openai-community/gpt2",
         "pruning_ratio": 0.0,