update

README.md

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+---
+thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
+license: llama2
+datasets:
+- mc4
+- cc100
+- oscar
+- wikipedia
+- EleutherAI/pile
+language:
+- ja
+- en
+inference: false
+---
+
+# `rinna/youri-7b-gptq`
+
+![rinna-icon](./rinna.png)
+
+# Overview
+`rinna/youri-7b-gptq` is the quantized model for [`rinna/youri-7b`](https://huggingface.co/rinna/youri-7b) using AutoGPTQ. The quantized version is 4x smaller than the original model and thus requires less memory and provides faster inference.
+
+* **Library**
+    
+    Refer to the [original model](https://huggingface.co/rinna/youri-7b) for library details.
+
+* **Model architecture**
+
+    Refer to the [original model](https://huggingface.co/rinna/youri-7b) for architecture details.
+
+* **Continual pre-training**
+
+    Refer to the [original model](https://huggingface.co/rinna/youri-7b) for pre-training details.
+
+* **Authors**
+    
+    - [Toshiaki Wakatsuki](https://huggingface.co/t-w)
+    - [Tianyu Zhao](https://huggingface.co/tianyuz)
+    - [Kei Sawada](https://huggingface.co/keisawada)
+
+---
+
+# Benchmarking
+
+Our evaluation experiments show that the quantization yields slight performance degradation on downstream tasks.
+
+Results will be updated soon.
+    
+---
+
+# How to use the model
+
+~~~~python
+import torch
+from transformers import AutoTokenizer
+from auto_gptq import AutoGPTQForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("rinna/youri-7b-gptq")
+model = AutoGPTQForCausalLM.from_quantized("rinna/youri-7b-gptq", use_safetensors=True)
+
+text = "西田幾多郎は、"
+token_ids = tokenizer.encode(text, add_special_tokens=False, return_tensors="pt")
+
+with torch.no_grad():
+    output_ids = model.generate(
+        input_ids=token_ids.to(model.device),
+        max_new_tokens=200,
+        min_new_tokens=200,
+        do_sample=True,
+        temperature=1.0,
+        top_p=0.95,
+        pad_token_id=tokenizer.pad_token_id,
+        bos_token_id=tokenizer.bos_token_id,
+        eos_token_id=tokenizer.eos_token_id
+    )
+
+output = tokenizer.decode(output_ids.tolist()[0])
+print(output)
+~~~~
+
+---
+
+# Tokenization
+The model uses the original llama-2 tokenizer.
+
+---
+
+# How to cite
+~~~
+@misc{RinnaYouri7bGPTQ, 
+    url={https://huggingface.co/rinna/youri-7b-gptq}, 
+    title={rinna/youri-7b-gptq}, 
+    author={Wakatsuki, Toshiaki and Zhao, Tianyu and Sawada, Kei}
+}
+~~~
+---
+
+# License
+[The llama2 license](https://ai.meta.com/llama/license/)

config.json

@@ -0,0 +1,27 @@
+{
+  "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": 4096,
+  "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-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.34.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

gptq_model-4bit-128g.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac39727e2223dcc453ff57aec70f0111c5024f8a8051516a3e651244c58a7250
+size 3896714728

quantize_config.json

@@ -0,0 +1,11 @@
+{
+  "bits": 4,
+  "group_size": 128,
+  "damp_percent": 0.01,
+  "desc_act": false,
+  "static_groups": false,
+  "sym": true,
+  "true_sequential": true,
+  "model_name_or_path": null,
+  "model_file_base_name": null
+}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "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 +1,39 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}