Training in progress, epoch 1

README.md

@@ -0,0 +1,21 @@
+---
+library_name: peft
+---
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: True
+- load_in_4bit: False
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+### Framework versions
+
+
+- PEFT 0.6.0.dev0

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
   "bias": "none",
   "fan_in_fan_out": null,
   "inference_mode": true,
@@ -16,13 +16,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "down_proj",
-    "v_proj",
     "gate_proj",
-    "q_proj",
-    "k_proj",
+    "v_proj",
+    "down_proj",
+    "up_proj",
     "o_proj",
-    "up_proj"
+    "q_proj",
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.bin

@@ -1,3 +1,3 @@
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 size 319977229

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "codellama/CodeLlama-7b-hf",
+  "_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
   "architectures": [
     "LlamaForCausalLM"
   ],

tokenizer_config.json

@@ -79,7 +79,7 @@
   "suffix_first": false,
   "suffix_token": "▁<SUF>",
   "tokenizer_class": "CodeLlamaTokenizer",
-  "tokenizer_file": "/root/.cache/huggingface/hub/models--codellama--CodeLlama-7b-hf/snapshots/3773f63b4511b9e47a9a7ffc765eed7eb0169486/tokenizer.json",
+  "tokenizer_file": "/root/.cache/huggingface/hub/models--codellama--CodeLlama-7b-Instruct-hf/snapshots/6114dd1e16f69e0765ccbd7a64d33d04b265fbd2/tokenizer.json",
   "trust_remote_code": false,
   "unk_token": "<unk>",
   "use_default_system_prompt": false,

training_args.bin

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