初始化项目，由ModelHub XC社区提供模型
Model: sbintuitions/sarashina2-7b Source: Original Platform
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LICENSE
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LICENSE
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MIT License
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Copyright (c) 2024 SB Intuitions
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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README.md
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---
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license: mit
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language:
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- ja
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- en
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---
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# Sarashina2-7B
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This repository provides large language models trained by [SB Intuitions](https://www.sbintuitions.co.jp/).
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## How to use
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed
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model = AutoModelForCausalLM.from_pretrained("sbintuitions/sarashina2-7b", torch_dtype=torch.bfloat16, device_map="auto")
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tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina2-7b")
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# If you want to use slow tokenizer
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# tokenizer = AutoTokenizer.from_pretrained("sbintuitions/sarashina2-7b", use_fast=False）
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
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set_seed(123)
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text = generator(
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"おはようございます、今日の天気は",
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max_length=30,
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do_sample=True,
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pad_token_id=tokenizer.pad_token_id,
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num_return_sequences=3,
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)
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for t in text:
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print(t)
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# These examples are generated by sarashina2-7b parameters model
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# {'generated_text': 'おはようございます、今日の天気は晴れです。ちょっと風が強い。\n昨日は、久しぶりにゆっくりとしていました。\n2週間位間があいてしまったかも、でもその間に'}
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# {'generated_text': 'おはようございます、今日の天気は曇。朝は曇っていてどんよりしていましたね。昼からは晴れそうですが。気温は徐々に上昇しています。昨日は春らしい陽気でした。'}
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# {'generated_text': 'おはようございます、今日の天気はくもり、少し寒気がします。 この土日に、家族で一泊二日で旅行に行ってきました。といっても、100キロ'}
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```
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## Configuration
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| Parameters | Vocab size | Training tokens | Architecture | Position type | Layers | Hidden dim | Attention heads |
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| :-----: | :-----------: | :-------------: | :------------ | :-----------: | :----: | :--------: | :-------------: |
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| [7B](https://huggingface.co/sbintuitions/sarashina2-7b) | 102400 | 2.1T | Llama2 | RoPE | 32 | 4096 | 32 |
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| [13B](https://huggingface.co/sbintuitions/sarashina2-13b) | 102400 | 2.1T | Llama2 | RoPE | 40 | 5120 | 40 |
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| [70B](https://huggingface.co/sbintuitions/sarashina2-70b) | 102400 | 2.1T | Llama2 | RoPE | 80 | 8192 | 64 |
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## Training Corpus
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For our Japanese training data, we used a Japanese portion of the [Common Crawl corpus](https://commoncrawl.org/), which is the largest Web corpus, as our training dataset.
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To clean the training corpus, we used [CCNet](https://github.com/facebookresearch/cc_net) and [HojiChar](https://github.com/HojiChar/HojiChar).
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After cleaning, our Japanese training data contains about 1T tokens.
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For our English training data, we extracted English documents from [SlimPajama](https://huggingface.co/datasets/cerebras/SlimPajama-627B) but we removed books3 corpus due to copyright infringement.
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## Tokenization
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We use a [sentencepiece](https://github.com/google/sentencepiece) tokenizer with a unigram language model and byte-fallback.
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We do not apply pre-tokenization with Japanese tokenizer.
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Thus, a user may directly feed raw sentences into the tokenizer.
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## Ethical Considerations and Limitations
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Sarashina2 has not been tuned to follow an instruction yet.
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Therefore, sarashina2 might generate some meaningless sequences, some inaccurate instances or biased/objectionable outputs.
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Before using sarashina2, we would like developers to tune models based on human preferences and safety considerations.
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## License
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[MIT License](https://huggingface.co/sbintuitions/sarashina2-7b/blob/main/LICENSE)
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"tie_word_embeddings": false,
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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|
||||
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|
||||
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||||
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.norm.weight": "pytorch_model-00002-of-00002.bin"
|
||||
}
|
||||
}
|
||||
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
|
||||
size 1831879
|
||||
135
tokenizer_config.json
Normal file
135
tokenizer_config.json
Normal file
@@ -0,0 +1,135 @@
|
||||
{
|
||||
"extra_ids": 0,
|
||||
"do_lower_case": false,
|
||||
"keep_accents": true,
|
||||
"bos_token": "<s>",
|
||||
"eos_token": "</s>",
|
||||
"unk_token": "<unk>",
|
||||
"pad_token": "<pad>",
|
||||
"mask_token": "<mask>",
|
||||
"cls_token": "<cls>",
|
||||
"sep_token": "<sep>",
|
||||
"padding_side": "left",
|
||||
"sp_model_kwargs": {},
|
||||
"special_tokens_map_file": null,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"added_tokens_decoder": {
|
||||
"4": {
|
||||
"content": "<sep>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"5": {
|
||||
"content": "<mask>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"6": {
|
||||
"content": "<cls>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"7": {
|
||||
"content": "<|system|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"8": {
|
||||
"content": "<|assistant|>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"9": {
|
||||
"content": "<|user|>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": false
|
||||
},
|
||||
"10": {
|
||||
"content": "<|available_tools|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"11": {
|
||||
"content": "<|tool_calls|>",
|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"12": {
|
||||
"content": "<|tool_results|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
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|
||||
},
|
||||
"13": {
|
||||
"content": "<|code|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"14": {
|
||||
"content": "<|file|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"102397": {
|
||||
"content": "<|prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
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|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"102398": {
|
||||
"content": "<|suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"102399": {
|
||||
"content": "<|middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"add_prefix_space": false,
|
||||
"add_dummy_prefix_space": false,
|
||||
"legacy": false,
|
||||
"add_bos_token": false,
|
||||
"add_eos_token": false
|
||||
}
|
||||
Reference in New Issue
Block a user