Upload of AutoGPTQ quantized model

config.json

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+{
+  "_name_or_path": "lemonteaa/exercise-openllama-3b-qlora-axolotl-checkpoint200-merged",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 3200,
+  "initializer_range": 0.02,
+  "intermediate_size": 8640,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 26,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

gptq_model-4bit-128g.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9c67654fed27cf491303e3565185edb2e93803b92a0a54853fa73c8438d515cd
+size 2088456192

quantize_config.json

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+{
+  "bits": 4,
+  "group_size": 128,
+  "damp_percent": 0.01,
+  "desc_act": false,
+  "sym": true,
+  "true_sequential": true,
+  "model_name_or_path": "gptq-model",
+  "model_file_base_name": "gptq_model-4bit-128g"
+}