Upload OPTForCausalLM

config.json

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+{
+  "_name_or_path": "facebook/opt-125m",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "enable_bias": true,
+  "eos_token_id": 2,
+  "ffn_dim": 3072,
+  "hidden_size": 768,
+  "init_std": 0.02,
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "quantization_config": {
+    "batch_size": 1,
+    "bits": 4,
+    "block_name_to_quantize": "model.decoder.layers",
+    "damp_percent": 0.01,
+    "dataset": [
+      "auto-gptq is an easy-to-use model quantization library with user-friendly apis, based on GPTQ algorithm."
+    ],
+    "desc_act": false,
+    "group_size": 128,
+    "model_seqlen": 2048,
+    "module_name_preceding_first_block": [
+      "model.decoder.embed_tokens",
+      "model.decoder.embed_positions",
+      "model.decoder.final_layer_norm"
+    ],
+    "pack_sequentially": false,
+    "pad_token_id": null,
+    "quant_method": "gptq",
+    "sym": true,
+    "tokenizer": null,
+    "true_sequential": true,
+    "use_cuda_fp16": true
+  },
+  "torch_dtype": "float16",
+  "transformers_version": "4.32.0.dev0",
+  "use_cache": true,
+  "vocab_size": 50272,
+  "word_embed_proj_dim": 768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.32.0.dev0"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b6d6bff3acd1d0f9db6ea1891bf0df83fa4990012fef2c6f56549448e40ce76f
+size 125200893