初始化项目，由ModelHub XC社区提供模型

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

.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,89 @@
+---
+license: llama2
+base_model: meta-llama/Llama-2-7b-hf
+pipeline_tag: text-generation
+language:
+  - en
+tags:
+  - llama
+  - text-generation
+  - rl-mpq
+  - mixed-precision
+  - quantization
+  - fake-quantization
+  - balanced
+  - llama-2
+library_name: transformers
+datasets:
+  - wikitext
+widget:
+  - text: "The capital of France is"
+---
+
+# Llama 2 7B — RL-MPQ Balanced
+
+Standalone **RL-MPQ** (Reinforcement Learning Mixed-Precision Quantization) checkpoint for the
+**Balanced** scenario — a quantized variant of
+[meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf).
+
+| Field | Value |
+|-------|-------|
+| **Base model** | [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) |
+| **Scenario** | Balanced |
+| **Avg bits / weight** | 4.375 |
+| **Compression vs FP16** | 3.6571× |
+| **WikiText-2 PPL** | 5.0437 |
+| **Layers** | 32 |
+| **Bit distribution** | `{'4': 29, '8': 3}` |
+| **Format** | Fake-quant FP16 + `rlmpq_policy.json` |
+
+**Collection:** [RL-MPQ — Llama 2 7B](https://huggingface.co/collections/AvoCahDoe/rl-mpq-llama-2-7b-6a2ae4f8c590727304e3f634) — all five scenarios for Llama 2 7B.
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+repo = "AvoCahDoe/llama-2-7b-rlmpq-balanced"
+
+model = AutoModelForCausalLM.from_pretrained(repo, torch_dtype="float16")
+tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+## Other Llama 2 7B scenarios
+
+| Scenario | Avg bits | Compression | WikiText-2 PPL |
+|----------|----------|-------------|----------------|
+| [High Fidelity](https://huggingface.co/AvoCahDoe/llama-2-7b-rlmpq-high-fidelity) | 6.5 | 2.4615x | 4.9808 |
+| [Conservative](https://huggingface.co/AvoCahDoe/llama-2-7b-rlmpq-conservative) | 5.125 | 3.122x | 5.0276 |
+| [Aggressive](https://huggingface.co/AvoCahDoe/llama-2-7b-rlmpq-aggressive) | 3.5938 | 4.4522x | 5.2614 |
+| [Extreme Survival](https://huggingface.co/AvoCahDoe/llama-2-7b-rlmpq-extreme-survival) | 2.9688 | 5.3895x | 10.9577 |
+
+Grouped archive (all scenarios in one repo):
+[AvoCahDoe/llama-2-7b-rlmpq](https://huggingface.co/AvoCahDoe/llama-2-7b-rlmpq)
+
+## Method
+
+1. **Phase 3** — PPO agent assigns per-layer bit widths under the Balanced reward target.
+2. **Phase 4** — Policy replayed on real weights; WikiText-2 perplexity validates quality.
+3. **Export** — Fake-quantized FP16 weights compatible with Hugging Face Transformers.
+
+## Files
+
+| File | Description |
+|------|-------------|
+| `config.json` | Llama architecture + RL-MPQ metadata |
+| `model.safetensors` | Fake-quantized weights |
+| `rlmpq_policy.json` | Per-layer bit-width policy |
+| `rlmpq_metrics.json` | Validation & PPL summary |
+
+## Citation
+
+```bibtex
+@misc{rlmpq_llama_2_7b_balanced_2026,
+  title  = {RL-MPQ Balanced: Llama 2 7B Mixed-Precision Quantization},
+  author = {AvoCahDoe},
+  year   = {2026},
+  url    = {https://huggingface.co/AvoCahDoe/llama-2-7b-rlmpq-balanced}
+}
+```

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"
+  }
+}

generation_config.json

@@ -0,0 +1,10 @@
+{
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "5.11.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e825c624ea11056bef28bdb62d44a6b458b45260533539fdde154ddfcdf46132
+size 13476864944

rlmpq_metrics.json

@@ -0,0 +1,23 @@
+{
+  "framework": "RL-NMP-Model-Quantasation",
+  "method": "RL-MPQ",
+  "repo_id": "AvoCahDoe/llama-2-7b-rlmpq-balanced",
+  "base_model": "meta-llama/Llama-2-7b-hf",
+  "model_slug": "llama_2_7b",
+  "scenario": "Balanced",
+  "scenario_label": "Balanced",
+  "avg_bits_per_weight": 4.375,
+  "compression_vs_fp16": 3.6571,
+  "wikitext2_perplexity": 5.0437,
+  "bit_distribution": {
+    "4": 29,
+    "8": 3
+  },
+  "quantization": {
+    "type": "fake-quant-fp16",
+    "group_size": 128,
+    "scheme": "per-layer asymmetric group-wise",
+    "packed_format": false
+  },
+  "exported_at": "2026-06-11T16:40:33.183918"
+}

rlmpq_policy.json

@@ -0,0 +1,60 @@
+{
+  "slug": "llama_2_7b",
+  "hf_id": "meta-llama/Llama-2-7b-hf",
+  "scenario": "Balanced",
+  "params": {
+    "lambda_mse": 1.0,
+    "lambda_bit": 0.25,
+    "max_mse_clip": 1.0,
+    "target_bits": 4.5,
+    "lambda_budget": 5.0
+  },
+  "policy": [
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    4,
+    8,
+    8,
+    8
+  ],
+  "num_layers": 32,
+  "avg_bits": 4.375,
+  "total_reward": -4.832758,
+  "compression_ratio": 3.6571,
+  "approx_size_gb": 3.828,
+  "bit_distribution": {
+    "4": 29,
+    "8": 3
+  },
+  "avg_mse_per_bit": {
+    "4": 0.28526766,
+    "8": 3.942e-05
+  },
+  "validation_elapsed_s": 0.0583
+}

tokenizer_config.json

@@ -0,0 +1,16 @@
+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}