初始化项目，由ModelHub XC社区提供模型
Model: LeoLM/leo-hessianai-7b Source: Original Platform
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README.md
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---
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datasets:
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- oscar-corpus/OSCAR-2301
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- wikipedia
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- bjoernp/tagesschau-2018-2023
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language:
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- en
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- de
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library_name: transformers
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pipeline_tag: text-generation
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---
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# LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
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Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
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Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly locality specific text.
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Thanks to a compute grant at HessianAI's new supercomputer **42**, we release two foundation models trained with 8k context length,
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[`LeoLM/leo-hessianai-7b`](https://huggingface.co/LeoLM/leo-hessianai-7b) and [`LeoLM/leo-hessianai-13b`](https://huggingface.co/LeoLM/leo-hessianai-13b) under the [Llama-2 community license](https://huggingface.co/meta-llama/Llama-2-70b/raw/main/LICENSE.txt) (70b also coming soon! 👀).
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With this release, we hope to bring a new wave of opportunities to German open-source and commercial LLM research and accelerate adoption.
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Read our [blog post]() or our paper (preprint coming soon) for more details!
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*A project by Björn Plüster and Christoph Schuhmann in collaboration with LAION and HessianAI.*
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## Model Details
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- **Finetuned from:** [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf)
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- **Model type:** Causal decoder-only transformer language model
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- **Language:** English and German
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- **License:** [LLAMA 2 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/meta-llama/Llama-2-70b/raw/main/LICENSE.txt)
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- **Contact:** [LAION Discord](https://discord.com/invite/eq3cAMZtCC) or [Björn Plüster](mailto:bjoern.pl@outlook.de)
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## Use in 🤗Transformers
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First install direct dependencies:
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```
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pip install transformers torch sentencepiece
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```
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If you want faster inference using flash-attention2, you need to install these dependencies:
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```bash
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pip install packaging ninja
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pip install flash-attn==v2.1.1 --no-build-isolation
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pip install git+https://github.com/HazyResearch/flash-attention.git@v2.1.1#subdirectory=csrc/rotary
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```
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Then load the model in transformers:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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model="LeoLM/leo-hessianai-7b",
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device_map="auto",
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torch_dtype=torch.float16,
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trust_remote_code=True # True for flash-attn2 else False
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)
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```
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## Training parameters
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## Benchmarks
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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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"auto_map": {
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"AutoModelForCausalLM": "modeling_flash_llama.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": 8192,
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"model_type": "llama",
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"factor": 2.0,
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"type": "linear"
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},
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.32.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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"temperature": 0.6,
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"top_p": 0.9,
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}
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23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
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||||
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||||
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|
||||
"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
|
||||
}
|
||||
}
|
||||
93391
tokenizer.json
Normal file
93391
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
||||
size 499723
|
||||
37
tokenizer_config.json
Normal file
37
tokenizer_config.json
Normal file
@@ -0,0 +1,37 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"padding_side": "right",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user