初始化项目，由ModelHub XC社区提供模型

Model: AvoCahDoe/llama-2-7b-rlmpq-balanced
Source: Original Platform

config.json

@@ -0,0 +1,49 @@
+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default",
+    "type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.11.0",
+  "use_cache": true,
+  "vocab_size": 32000,
+  "base_model": "meta-llama/Llama-2-7b-hf",
+  "quantization": {
+    "method": "rl-mpq",
+    "format": "fake-quant-fp16",
+    "scenario": "Balanced",
+    "avg_bits": 4.375,
+    "description": "Per-layer mixed bit-width via PPO-trained policy (not GPTQ/AWQ)"
+  },
+  "rlmpq": {
+    "framework": "RL-NMP-Model-Quantasation",
+    "scenario": "Balanced",
+    "scenario_label": "Balanced",
+    "repo_id": "AvoCahDoe/llama-2-7b-rlmpq-balanced",
+    "grouped_repo": "AvoCahDoe/llama-2-7b-rlmpq",
+    "collection_title": "RL-MPQ \u2014 Llama 2 7B"
+  }
+}