初始化项目，由ModelHub XC社区提供模型

Model: OpenBMB/MiniCPM5-2B-GPTQ
Source: Original Platform

config.json

@@ -0,0 +1,96 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dtype": "float16",
+  "eos_token_id": [
+    1,
+    130073
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 42,
+  "num_key_value_heads": 2,
+  "pad_token_id": 1,
+  "pretraining_tp": 1,
+  "quantization_config": {
+    "bits": 4,
+    "checkpoint_format": "gemm",
+    "desc_act": false,
+    "format": "gemm",
+    "group_size": 128,
+    "lm_head": false,
+    "method": "awq",
+    "pack_dtype": "int32",
+    "quant_method": "awq",
+    "version": "gemm",
+    "zero_point": true,
+    "meta": {
+      "act_group_aware": true,
+      "auto_forward_data_parallel": true,
+      "damp_auto_increment": 0.01,
+      "damp_percent": 0.01,
+      "dense_vram_strategy": "exclusive",
+      "dense_vram_strategy_devices": null,
+      "fallback": {
+        "smooth": null,
+        "strategy": "rtn",
+        "threshold": "0.5%"
+      },
+      "foem": null,
+      "gc_mode": "interval",
+      "gptaq": {
+        "alpha": 0.25,
+        "device": "auto"
+      },
+      "hessian": {
+        "chunk_bytes": null,
+        "chunk_size": null,
+        "staging_dtype": "float32"
+      },
+      "mock_quantization": false,
+      "moe_vram_strategy": "exclusive",
+      "moe_vram_strategy_devices": null,
+      "mse": 0.0,
+      "offload_to_disk": true,
+      "offload_to_disk_path": "/tmp/gptqmodel_vq422ji5",
+      "pack_impl": "cpu",
+      "quantizer": [
+        "gptqmodel:7.3.5"
+      ],
+      "static_groups": false,
+      "true_sequential": true,
+      "uri": "https://github.com/modelcloud/gptqmodel",
+      "wait_for_submodule_finalizers": false,
+      "repacked_from": {
+        "source_dir": "target_model/rotquant-gptaq-w4-g128-asym-fullmix_scaled_t183",
+        "source_quant_method": "gptq",
+        "source_format": "gptq",
+        "source_sym": false,
+        "converter": "scripts/repack_gptq_asym_to_awq.py",
+        "note": "Layout-only re-encode of an asymmetric GPTQ checkpoint into AWQ GEMM packing. Weights are bit-identical after dequantization; no AWQ scale search was run. Done because vLLM's AutoGPTQConfig.TYPE_MAP has no (4, False) entry and raises on load.",
+        "dequant_verified": true
+      }
+    }
+  },
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.16.1",
+  "use_cache": true,
+  "vocab_size": 130560,
+  "torch_dtype": "float16"
+}