初始化项目，由ModelHub XC社区提供模型

Model: LLM360/Amber
Source: Original Platform

.gitattributes

@@ -0,0 +1,47 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.bz2 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
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack 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
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* 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
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zstandard filter=lfs diff=lfs merge=lfs -text
+*.tfevents* filter=lfs diff=lfs merge=lfs -text
+*.db* filter=lfs diff=lfs merge=lfs -text
+*.ark* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text
+**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.gguf* filter=lfs diff=lfs merge=lfs -text
+*.ggml filter=lfs diff=lfs merge=lfs -text
+*.llamafile* filter=lfs diff=lfs merge=lfs -text
+*.pt2 filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.wasm 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 +1,129 @@
+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- nlp
+- llm
+---
+# Amber
+
+
+<center><img src="amber_logo.png" alt="amber logo" width="150"/></center>
+
+Amber is an7B English language model with the LLaMA architecture. Amber is part of LLM360's Pebble model series.
+
+360 model checkpoints and the full data sequence are available under the Apache 2.0 license.
+
+[![mof-class1-qualified](https://mot.isitopen.ai/modules/mof/assets/badge_class1_qualified.png)](https://mot.isitopen.ai/model/903)
+
+
+## Evaluations
+| Metric      | Score |
+| ----------- | ----------- |
+| ARC-C      | 42.57       |
+| HellaSwag   | 73.91        |
+| MMLU   | 28.53        |
+| TruthfulQA   | 43.67        |
+| WinoGrande   | 64.35        |
+
+Amber is not a SOTA model. Amber is released to make LLM training knowledge accessible to all.
+
+Please refer to our [W&B project page](https://wandb.ai/llm360/Amber?nw=lnzi8o2g4z) for complete training logs and evaluation results.
+
+
+## Final 10 Checkpoints
+| Checkpoints      |  |
+| ----------- | ----------- |
+| [Checkpoint 358](https://huggingface.co/LLM360/Amber/tree/ckpt_358)     | [Checkpoint 353](https://huggingface.co/LLM360/Amber/tree/ckpt_353)       |
+| [Checkpoint 357](https://huggingface.co/LLM360/Amber/tree/ckpt_357)   | [Checkpoint 352](https://huggingface.co/LLM360/Amber/tree/ckpt_352)        |
+| [Checkpoint 356](https://huggingface.co/LLM360/Amber/tree/ckpt_356)   | [Checkpoint 351](https://huggingface.co/LLM360/Amber/tree/ckpt_351)        |
+| [Checkpoint 355](https://huggingface.co/LLM360/Amber/tree/ckpt_355)   | [Checkpoint 350](https://huggingface.co/LLM360/Amber/tree/ckpt_350)        |
+| [Checkpoint 354](https://huggingface.co/LLM360/Amber/tree/ckpt_354)   | [Checkpoint 349](https://huggingface.co/LLM360/Amber/tree/ckpt_349)        |
+- 360 checkpoints are available for download
+- To downloading other checkpoints, change the branch from 'main' to the checkpoint you want (e.g. 'ckpt_000'). 
+- This is completed on the 'Files and versions' tab (to the right of the Model Card).
+
+## 🟠 Loading Amber 
+
+To load a specific checkpoint, simply pass a revision with a value between `"ckpt_000"` and `"ckpt_358"`. If no revision is provided, it will load `"ckpt_359"`, which is the final checkpoint.
+
+```python
+from transformers import LlamaTokenizer, LlamaForCausalLM
+
+tokenizer = LlamaTokenizer.from_pretrained("LLM360/Amber", revision="ckpt_356")
+model = LlamaForCausalLM.from_pretrained("LLM360/Amber", revision="ckpt_356")
+
+input_text = "translate English to German: How old are you?"
+input_ids = tokenizer(input_text, return_tensors="pt").input_ids
+
+outputs = model.generate(input_ids)
+print(tokenizer.decode(outputs[0]))
+
+```
+
+# 🟠 Amber Training Details
+
+## Datasets and Mix
+[Access the fully processed Amber pretraining data here](https://huggingface.co/datasets/LLM360/AmberDatasets)
+| Subset      | Tokens (Billion) |
+| ----------- | ----------- |
+| Arxiv      | 30.00       |
+| Book   | 28.86        |
+| C4   | 197.67        |
+| Refined-Web   | 665.01        |
+| StarCoder   | 291.92        |
+| StackExchange   | 21.75        |
+| Wikipedia   | 23.90        |
+| Total | 1259.13 |
+
+
+## 🟠 Model Description
+
+- **Model type:** Language model with the same architecture as LLaMA-7B
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Resources for more information:**
+  - [Training Code](https://github.com/LLM360/amber-train)
+  - [Data Preparation](https://github.com/LLM360/amber-data-prep)
+  - [Metrics](https://github.com/LLM360/Analysis360)
+  - [Fully processed Amber pretraining data](https://huggingface.co/datasets/LLM360/AmberDatasets)
+
+| Model Hyperparameter      | Value |
+| ----------- | ----------- |
+| Total Parameters      | 6.7B       |
+| Hidden Size   | 4096        |
+| Intermediate Size (MLPs)   | 11008        |
+| Number of Attention Heads   | 32        |
+| Number of Hidden Lyaers  | 32        |
+| RMSNorm ɛ  | 1e^-6        |
+| Max Seq Length   | 2048        |
+| Vocab Size | 32000 |
+
+## About LLM360
+LLM360 is an initiative for comprehensive and fully open-sourced LLMs, 
+where all training details, model checkpoints, intermediate results, and 
+additional analyses are made available to the community. Our goal is to advance 
+the field by inviting the community to deepen the understanding of LLMs 
+together. As the first step of the project LLM360, we release all intermediate 
+model checkpoints, our fully-prepared pre-training dataset, all source code and
+configurations, and training details. We are
+committed to continually pushing the boundaries of LLMs through this open-source 
+effort.
+
+# 🟠 Citation
+
+**BibTeX:**
+
+```bibtex
+@misc{liu2023llm360,
+      title={LLM360: Towards Fully Transparent Open-Source LLMs}, 
+      author={Zhengzhong Liu and Aurick Qiao and Willie Neiswanger and Hongyi Wang and Bowen Tan and Tianhua Tao and Junbo Li and Yuqi Wang and Suqi Sun and Omkar Pangarkar and Richard Fan and Yi Gu and Victor Miller and Yonghao Zhuang and Guowei He and Haonan Li and Fajri Koto and Liping Tang and Nikhil Ranjan and Zhiqiang Shen and Xuguang Ren and Roberto Iriondo and Cun Mu and Zhiting Hu and Mark Schulze and Preslav Nakov and Tim Baldwin and Eric P. Xing},
+      year={2023},
+      eprint={2312.06550},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "llm360/amber",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

configuration.json

@@ -0,0 +1 @@
+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

eval_arc.json

@@ -0,0 +1,25 @@
+{
+  "results": {
+    "arc_challenge": {
+      "acc": 0.39761092150170646,
+      "acc_stderr": 0.014301752223279536,
+      "acc_norm": 0.4129692832764505,
+      "acc_norm_stderr": 0.014388344935398326
+    }
+  },
+  "versions": {
+    "arc_challenge": 0
+  },
+  "config": {
+    "model": "hf-causal",
+    "model_args": "pretrained=./workdir_7b_16mix/ckpt_359",
+    "num_fewshot": 25,
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": null,
+    "no_cache": true,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "description_dict": {}
+  }
+}

eval_hellaswag.json

@@ -0,0 +1,25 @@
+{
+  "results": {
+    "hellaswag": {
+      "acc": 0.5476000796654052,
+      "acc_stderr": 0.0049671185759052865,
+      "acc_norm": 0.7382991435968931,
+      "acc_norm_stderr": 0.004386622589119069
+    }
+  },
+  "versions": {
+    "hellaswag": 0
+  },
+  "config": {
+    "model": "hf-causal",
+    "model_args": "pretrained=./workdir_7b_16mix/ckpt_359",
+    "num_fewshot": 10,
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": null,
+    "no_cache": true,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "description_dict": {}
+  }
+}

eval_mmlu.json

@@ -0,0 +1,417 @@
+{
+  "results": {
+    "hendrycksTest-abstract_algebra": {
+      "acc": 0.29,
+      "acc_stderr": 0.045604802157206845,
+      "acc_norm": 0.29,
+      "acc_norm_stderr": 0.045604802157206845
+    },
+    "hendrycksTest-anatomy": {
+      "acc": 0.26666666666666666,
+      "acc_stderr": 0.038201699145179055,
+      "acc_norm": 0.26666666666666666,
+      "acc_norm_stderr": 0.038201699145179055
+    },
+    "hendrycksTest-astronomy": {
+      "acc": 0.27631578947368424,
+      "acc_stderr": 0.03639057569952924,
+      "acc_norm": 0.27631578947368424,
+      "acc_norm_stderr": 0.03639057569952924
+    },
+    "hendrycksTest-business_ethics": {
+      "acc": 0.32,
+      "acc_stderr": 0.046882617226215034,
+      "acc_norm": 0.32,
+      "acc_norm_stderr": 0.046882617226215034
+    },
+    "hendrycksTest-clinical_knowledge": {
+      "acc": 0.26037735849056604,
+      "acc_stderr": 0.027008766090708104,
+      "acc_norm": 0.26037735849056604,
+      "acc_norm_stderr": 0.027008766090708104
+    },
+    "hendrycksTest-college_biology": {
+      "acc": 0.2986111111111111,
+      "acc_stderr": 0.03827052357950756,
+      "acc_norm": 0.2986111111111111,
+      "acc_norm_stderr": 0.03827052357950756
+    },
+    "hendrycksTest-college_chemistry": {
+      "acc": 0.22,
+      "acc_stderr": 0.0416333199893227,
+      "acc_norm": 0.22,
+      "acc_norm_stderr": 0.0416333199893227
+    },
+    "hendrycksTest-college_computer_science": {
+      "acc": 0.38,
+      "acc_stderr": 0.04878317312145631,
+      "acc_norm": 0.38,
+      "acc_norm_stderr": 0.04878317312145631
+    },
+    "hendrycksTest-college_mathematics": {
+      "acc": 0.26,
+      "acc_stderr": 0.04408440022768078,
+      "acc_norm": 0.26,
+      "acc_norm_stderr": 0.04408440022768078
+    },
+    "hendrycksTest-college_medicine": {
+      "acc": 0.2774566473988439,
+      "acc_stderr": 0.03414014007044036,
+      "acc_norm": 0.2774566473988439,
+      "acc_norm_stderr": 0.03414014007044036
+    },
+    "hendrycksTest-college_physics": {
+      "acc": 0.19607843137254902,
+      "acc_stderr": 0.03950581861179963,
+      "acc_norm": 0.19607843137254902,
+      "acc_norm_stderr": 0.03950581861179963
+    },
+    "hendrycksTest-computer_security": {
+      "acc": 0.38,
+      "acc_stderr": 0.04878317312145633,
+      "acc_norm": 0.38,
+      "acc_norm_stderr": 0.04878317312145633
+    },
+    "hendrycksTest-conceptual_physics": {
+      "acc": 0.23829787234042554,
+      "acc_stderr": 0.027851252973889778,
+      "acc_norm": 0.23829787234042554,
+      "acc_norm_stderr": 0.027851252973889778
+    },
+    "hendrycksTest-econometrics": {
+      "acc": 0.2807017543859649,
+      "acc_stderr": 0.042270544512322,
+      "acc_norm": 0.2807017543859649,
+      "acc_norm_stderr": 0.042270544512322
+    },
+    "hendrycksTest-electrical_engineering": {
+      "acc": 0.3103448275862069,
+      "acc_stderr": 0.03855289616378948,
+      "acc_norm": 0.3103448275862069,
+      "acc_norm_stderr": 0.03855289616378948
+    },
+    "hendrycksTest-elementary_mathematics": {
+      "acc": 0.2619047619047619,
+      "acc_stderr": 0.022644212615525214,
+      "acc_norm": 0.2619047619047619,
+      "acc_norm_stderr": 0.022644212615525214
+    },
+    "hendrycksTest-formal_logic": {
+      "acc": 0.29365079365079366,
+      "acc_stderr": 0.040735243221471276,
+      "acc_norm": 0.29365079365079366,
+      "acc_norm_stderr": 0.040735243221471276
+    },
+    "hendrycksTest-global_facts": {
+      "acc": 0.33,
+      "acc_stderr": 0.047258156262526045,
+      "acc_norm": 0.33,
+      "acc_norm_stderr": 0.047258156262526045
+    },
+    "hendrycksTest-high_school_biology": {
+      "acc": 0.24193548387096775,
+      "acc_stderr": 0.024362599693031086,
+      "acc_norm": 0.24193548387096775,
+      "acc_norm_stderr": 0.024362599693031086
+    },
+    "hendrycksTest-high_school_chemistry": {
+      "acc": 0.15763546798029557,
+      "acc_stderr": 0.025639014131172404,
+      "acc_norm": 0.15763546798029557,
+      "acc_norm_stderr": 0.025639014131172404
+    },
+    "hendrycksTest-high_school_computer_science": {
+      "acc": 0.28,
+      "acc_stderr": 0.045126085985421276,
+      "acc_norm": 0.28,
+      "acc_norm_stderr": 0.045126085985421276
+    },
+    "hendrycksTest-high_school_european_history": {
+      "acc": 0.2909090909090909,
+      "acc_stderr": 0.03546563019624335,
+      "acc_norm": 0.2909090909090909,
+      "acc_norm_stderr": 0.03546563019624335
+    },
+    "hendrycksTest-high_school_geography": {
+      "acc": 0.2222222222222222,
+      "acc_stderr": 0.02962022787479047,
+      "acc_norm": 0.2222222222222222,
+      "acc_norm_stderr": 0.02962022787479047
+    },
+    "hendrycksTest-high_school_government_and_politics": {
+      "acc": 0.21243523316062177,
+      "acc_stderr": 0.029519282616817234,
+      "acc_norm": 0.21243523316062177,
+      "acc_norm_stderr": 0.029519282616817234
+    },
+    "hendrycksTest-high_school_macroeconomics": {
+      "acc": 0.24358974358974358,
+      "acc_stderr": 0.02176373368417393,
+      "acc_norm": 0.24358974358974358,
+      "acc_norm_stderr": 0.02176373368417393
+    },
+    "hendrycksTest-high_school_mathematics": {
+      "acc": 0.25555555555555554,
+      "acc_stderr": 0.02659393910184407,
+      "acc_norm": 0.25555555555555554,
+      "acc_norm_stderr": 0.02659393910184407
+    },
+    "hendrycksTest-high_school_microeconomics": {
+      "acc": 0.226890756302521,
+      "acc_stderr": 0.027205371538279496,
+      "acc_norm": 0.226890756302521,
+      "acc_norm_stderr": 0.027205371538279496
+    },
+    "hendrycksTest-high_school_physics": {
+      "acc": 0.2913907284768212,
+      "acc_stderr": 0.037101857261199946,
+      "acc_norm": 0.2913907284768212,
+      "acc_norm_stderr": 0.037101857261199946
+    },
+    "hendrycksTest-high_school_psychology": {
+      "acc": 0.22201834862385322,
+      "acc_stderr": 0.01781884956479661,
+      "acc_norm": 0.22201834862385322,
+      "acc_norm_stderr": 0.01781884956479661
+    },
+    "hendrycksTest-high_school_statistics": {
+      "acc": 0.2638888888888889,
+      "acc_stderr": 0.030058202704309846,
+      "acc_norm": 0.2638888888888889,
+      "acc_norm_stderr": 0.030058202704309846
+    },
+    "hendrycksTest-high_school_us_history": {
+      "acc": 0.29901960784313725,
+      "acc_stderr": 0.03213325717373616,
+      "acc_norm": 0.29901960784313725,
+      "acc_norm_stderr": 0.03213325717373616
+    },
+    "hendrycksTest-high_school_world_history": {
+      "acc": 0.29535864978902954,
+      "acc_stderr": 0.029696338713422886,
+      "acc_norm": 0.29535864978902954,
+      "acc_norm_stderr": 0.029696338713422886
+    },
+    "hendrycksTest-human_aging": {
+      "acc": 0.27802690582959644,
+      "acc_stderr": 0.030069584874494033,
+      "acc_norm": 0.27802690582959644,
+      "acc_norm_stderr": 0.030069584874494033
+    },
+    "hendrycksTest-human_sexuality": {
+      "acc": 0.29770992366412213,
+      "acc_stderr": 0.04010358942462203,
+      "acc_norm": 0.29770992366412213,
+      "acc_norm_stderr": 0.04010358942462203
+    },
+    "hendrycksTest-international_law": {
+      "acc": 0.2892561983471074,
+      "acc_stderr": 0.04139112727635464,
+      "acc_norm": 0.2892561983471074,
+      "acc_norm_stderr": 0.04139112727635464
+    },
+    "hendrycksTest-jurisprudence": {
+      "acc": 0.28703703703703703,
+      "acc_stderr": 0.043733130409147614,
+      "acc_norm": 0.28703703703703703,
+      "acc_norm_stderr": 0.043733130409147614
+    },
+    "hendrycksTest-logical_fallacies": {
+      "acc": 0.22699386503067484,
+      "acc_stderr": 0.032910995786157686,
+      "acc_norm": 0.22699386503067484,
+      "acc_norm_stderr": 0.032910995786157686
+    },
+    "hendrycksTest-machine_learning": {
+      "acc": 0.2767857142857143,
+      "acc_stderr": 0.04246624336697625,
+      "acc_norm": 0.2767857142857143,
+      "acc_norm_stderr": 0.04246624336697625
+    },
+    "hendrycksTest-management": {
+      "acc": 0.18446601941747573,
+      "acc_stderr": 0.03840423627288276,
+      "acc_norm": 0.18446601941747573,
+      "acc_norm_stderr": 0.03840423627288276
+    },
+    "hendrycksTest-marketing": {
+      "acc": 0.2948717948717949,
+      "acc_stderr": 0.029872577708891148,
+      "acc_norm": 0.2948717948717949,
+      "acc_norm_stderr": 0.029872577708891148
+    },
+    "hendrycksTest-medical_genetics": {
+      "acc": 0.37,
+      "acc_stderr": 0.04852365870939099,
+      "acc_norm": 0.37,
+      "acc_norm_stderr": 0.04852365870939099
+    },
+    "hendrycksTest-miscellaneous": {
+      "acc": 0.30779054916985954,
+      "acc_stderr": 0.016506045045155637,
+      "acc_norm": 0.30779054916985954,
+      "acc_norm_stderr": 0.016506045045155637
+    },
+    "hendrycksTest-moral_disputes": {
+      "acc": 0.30346820809248554,
+      "acc_stderr": 0.024752411960917202,
+      "acc_norm": 0.30346820809248554,
+      "acc_norm_stderr": 0.024752411960917202
+    },
+    "hendrycksTest-moral_scenarios": {
+      "acc": 0.24916201117318434,
+      "acc_stderr": 0.014465893829859923,
+      "acc_norm": 0.24916201117318434,
+      "acc_norm_stderr": 0.014465893829859923
+    },
+    "hendrycksTest-nutrition": {
+      "acc": 0.2549019607843137,
+      "acc_stderr": 0.02495418432487991,
+      "acc_norm": 0.2549019607843137,
+      "acc_norm_stderr": 0.02495418432487991
+    },
+    "hendrycksTest-philosophy": {
+      "acc": 0.34726688102893893,
+      "acc_stderr": 0.027040745502307336,
+      "acc_norm": 0.34726688102893893,
+      "acc_norm_stderr": 0.027040745502307336
+    },
+    "hendrycksTest-prehistory": {
+      "acc": 0.29012345679012347,
+      "acc_stderr": 0.025251173936495012,
+      "acc_norm": 0.29012345679012347,
+      "acc_norm_stderr": 0.025251173936495012
+    },
+    "hendrycksTest-professional_accounting": {
+      "acc": 0.30141843971631205,
+      "acc_stderr": 0.02737412888263115,
+      "acc_norm": 0.30141843971631205,
+      "acc_norm_stderr": 0.02737412888263115
+    },
+    "hendrycksTest-professional_law": {
+      "acc": 0.2816166883963494,
+      "acc_stderr": 0.011487783272786696,
+      "acc_norm": 0.2816166883963494,
+      "acc_norm_stderr": 0.011487783272786696
+    },
+    "hendrycksTest-professional_medicine": {
+      "acc": 0.1948529411764706,
+      "acc_stderr": 0.024060599423487428,
+      "acc_norm": 0.1948529411764706,
+      "acc_norm_stderr": 0.024060599423487428
+    },
+    "hendrycksTest-professional_psychology": {
+      "acc": 0.30718954248366015,
+      "acc_stderr": 0.018663359671463653,
+      "acc_norm": 0.30718954248366015,
+      "acc_norm_stderr": 0.018663359671463653
+    },
+    "hendrycksTest-public_relations": {
+      "acc": 0.2727272727272727,
+      "acc_stderr": 0.04265792110940588,
+      "acc_norm": 0.2727272727272727,
+      "acc_norm_stderr": 0.04265792110940588
+    },
+    "hendrycksTest-security_studies": {
+      "acc": 0.2,
+      "acc_stderr": 0.025607375986579153,
+      "acc_norm": 0.2,
+      "acc_norm_stderr": 0.025607375986579153
+    },
+    "hendrycksTest-sociology": {
+      "acc": 0.24875621890547264,
+      "acc_stderr": 0.030567675938916707,
+      "acc_norm": 0.24875621890547264,
+      "acc_norm_stderr": 0.030567675938916707
+    },
+    "hendrycksTest-us_foreign_policy": {
+      "acc": 0.32,
+      "acc_stderr": 0.04688261722621504,
+      "acc_norm": 0.32,
+      "acc_norm_stderr": 0.04688261722621504
+    },
+    "hendrycksTest-virology": {
+      "acc": 0.2710843373493976,
+      "acc_stderr": 0.03460579907553027,
+      "acc_norm": 0.2710843373493976,
+      "acc_norm_stderr": 0.03460579907553027
+    },
+    "hendrycksTest-world_religions": {
+      "acc": 0.3742690058479532,
+      "acc_stderr": 0.03711601185389481,
+      "acc_norm": 0.3742690058479532,
+      "acc_norm_stderr": 0.03711601185389481
+    }
+  },
+  "versions": {
+    "hendrycksTest-abstract_algebra": 1,
+    "hendrycksTest-anatomy": 1,
+    "hendrycksTest-astronomy": 1,
+    "hendrycksTest-business_ethics": 1,
+    "hendrycksTest-clinical_knowledge": 1,
+    "hendrycksTest-college_biology": 1,
+    "hendrycksTest-college_chemistry": 1,
+    "hendrycksTest-college_computer_science": 1,
+    "hendrycksTest-college_mathematics": 1,
+    "hendrycksTest-college_medicine": 1,
+    "hendrycksTest-college_physics": 1,
+    "hendrycksTest-computer_security": 1,
+    "hendrycksTest-conceptual_physics": 1,
+    "hendrycksTest-econometrics": 1,
+    "hendrycksTest-electrical_engineering": 1,
+    "hendrycksTest-elementary_mathematics": 1,
+    "hendrycksTest-formal_logic": 1,
+    "hendrycksTest-global_facts": 1,
+    "hendrycksTest-high_school_biology": 1,
+    "hendrycksTest-high_school_chemistry": 1,
+    "hendrycksTest-high_school_computer_science": 1,
+    "hendrycksTest-high_school_european_history": 1,
+    "hendrycksTest-high_school_geography": 1,
+    "hendrycksTest-high_school_government_and_politics": 1,
+    "hendrycksTest-high_school_macroeconomics": 1,
+    "hendrycksTest-high_school_mathematics": 1,
+    "hendrycksTest-high_school_microeconomics": 1,
+    "hendrycksTest-high_school_physics": 1,
+    "hendrycksTest-high_school_psychology": 1,
+    "hendrycksTest-high_school_statistics": 1,
+    "hendrycksTest-high_school_us_history": 1,
+    "hendrycksTest-high_school_world_history": 1,
+    "hendrycksTest-human_aging": 1,
+    "hendrycksTest-human_sexuality": 1,
+    "hendrycksTest-international_law": 1,
+    "hendrycksTest-jurisprudence": 1,
+    "hendrycksTest-logical_fallacies": 1,
+    "hendrycksTest-machine_learning": 1,
+    "hendrycksTest-management": 1,
+    "hendrycksTest-marketing": 1,
+    "hendrycksTest-medical_genetics": 1,
+    "hendrycksTest-miscellaneous": 1,
+    "hendrycksTest-moral_disputes": 1,
+    "hendrycksTest-moral_scenarios": 1,
+    "hendrycksTest-nutrition": 1,
+    "hendrycksTest-philosophy": 1,
+    "hendrycksTest-prehistory": 1,
+    "hendrycksTest-professional_accounting": 1,
+    "hendrycksTest-professional_law": 1,
+    "hendrycksTest-professional_medicine": 1,
+    "hendrycksTest-professional_psychology": 1,
+    "hendrycksTest-public_relations": 1,
+    "hendrycksTest-security_studies": 1,
+    "hendrycksTest-sociology": 1,
+    "hendrycksTest-us_foreign_policy": 1,
+    "hendrycksTest-virology": 1,
+    "hendrycksTest-world_religions": 1
+  },
+  "config": {
+    "model": "hf-causal",
+    "model_args": "pretrained=./workdir_7b_16mix/ckpt_359",
+    "num_fewshot": 5,
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": null,
+    "no_cache": true,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "description_dict": {}
+  }
+}

eval_truthfulqa.json

@@ -0,0 +1,25 @@
+{
+  "results": {
+    "truthfulqa_mc": {
+      "mc1": 0.2141982864137087,
+      "mc1_stderr": 0.014362148155690462,
+      "mc2": 0.3359467406926554,
+      "mc2_stderr": 0.013120875222733098
+    }
+  },
+  "versions": {
+    "truthfulqa_mc": 1
+  },
+  "config": {
+    "model": "hf-causal",
+    "model_args": "pretrained=./workdir_7b_16mix/ckpt_359",
+    "num_fewshot": 0,
+    "batch_size": "1",
+    "batch_sizes": [],
+    "device": null,
+    "no_cache": true,
+    "limit": null,
+    "bootstrap_iters": 100000,
+    "description_dict": {}
+  }
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model-00001-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6f8b00917bd26736ca2c20e88ad1b839386ccf8d515eedd0eed3a390558a512
+size 4938985352

model-00002-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ca87b4609cc415ee16ef4ff46af96e1e2248c38040d353403a543d92982ab28
+size 4947390880

model-00003-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:35821b2529b8e3a3a19a2c73407c6eaf5d37f339fe284ab05fc495d02a774ff7
+size 3590488816

model.safetensors.index.json

@@ -0,0 +1,298 @@
+{
+  "metadata": {
+    "total_size": 13476831232
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00003-of-00003.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
+    "model.norm.weight": "model-00003-of-00003.safetensors"
+  }
+}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,41 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}