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Model: DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1 Source: Original Platform
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---
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license: llama3
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language:
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- de
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library_name: transformers
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---
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# # Llama3-DiscoLeo-Instruct 8B 32k-context (version 0.1)
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## Thanks and Accreditation
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[DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1](https://huggingface.co/collections/DiscoResearch/discoleo-8b-llama3-for-german-6650527496c0fafefd4c9729)
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is the result of a joint effort between [DiscoResearch](https://huggingface.co/DiscoResearch) and [Occiglot](https://huggingface.co/occiglot)
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with support from the [DFKI](https://www.dfki.de/web/) (German Research Center for Artificial Intelligence) and [hessian.Ai](https://hessian.ai).
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Occiglot kindly handled data preprocessing, filtering, and deduplication as part of their latest [dataset release](https://huggingface.co/datasets/occiglot/occiglot-fineweb-v0.5), as well as sharing their compute allocation at hessian.Ai's 42 Supercomputer.
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## Model Overview
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DiscoResearch/Llama3_DiscoLeo_Instruct_8B_32k_v0.1 is an instruction tuned version of our long-context [Llama3-German-8B-32k](https://huggingface.co/DiscoResearch/Llama3_German_8B_32k).
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The base model was derived from [Meta's Llama3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) through continuous pretraining on 65 billion high-quality German tokens, similar to previous [LeoLM](https://huggingface.co/LeoLM) or [Occiglot](https://huggingface.co/collections/occiglot/occiglot-eu5-7b-v01-65dbed502a6348b052695e01) models.
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For the long-context version we trained on an additional 100 million tokens at 32k context length, using a rope_theta value of 1.5e6 and a learning rate of 1.5e-5 with a batch size of 256*8192 and otherwise equal hyperparameters to the base model.
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We finetuned this checkpoint on the German Instruction dataset from DiscoResearch created by [Jan-Philipp Harries](https://huggingface.co/jphme) and [Daniel Auras](https://huggingface.co/rasdani) ([DiscoResearch](https://huggingface.co/DiscoResearch), [ellamind](https://ellamind.com)).
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## How to use
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Llama3_DiscoLeo_Instruct_8B_32k_v0.1 uses the [Llama-3 chat template](https://github.com/meta-llama/llama3?tab=readme-ov-file#instruction-tuned-models), which can be easily used with [transformer's chat templating](https://huggingface.co/docs/transformers/main/en/chat_templating).
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See [below](https://huggingface.co/DiscoResearch/Llama3_DiscoLeo_Instruct_8B_32k_v0.1#usage-example) for a usage example.
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## Model Training and Hyperparameters
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The model was full-fintuned with axolotl on the [hessian.Ai 42](hessian.ai) with 32,768 context-length, learning rate 2e-5 and batch size of 16.
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## Evaluation and Results
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We evaluated the model using a suite of common English Benchmarks and their German counterparts with [GermanBench](https://github.com/bjoernpl/GermanBenchmark).
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In the below image and corresponding table, you can see the benchmark scores for the different instruct models compared to Metas instruct version. All checkpoints are available in this [collection](https://huggingface.co/collections/DiscoResearch/discoleo-8b-llama3-for-german-6650527496c0fafefd4c9729).
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| Model | truthful_qa_de | truthfulqa_mc | arc_challenge | arc_challenge_de | hellaswag | hellaswag_de | MMLU | MMLU-DE | mean |
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|----------------------------------------------------|----------------|---------------|---------------|------------------|-------------|--------------|-------------|-------------|-------------|
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| meta-llama/Meta-Llama-3-8B-Instruct | 0.47498 | 0.43923 | **0.59642** | 0.47952 | **0.82025** | 0.60008 | **0.66658** | 0.53541 | 0.57656 |
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| DiscoResearch/Llama3-German-8B | 0.49499 | 0.44838 | 0.55802 | 0.49829 | 0.79924 | 0.65395 | 0.62240 | 0.54413 | 0.57743 |
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| DiscoResearch/Llama3-German-8B-32k | 0.48920 | 0.45138 | 0.54437 | 0.49232 | 0.79078 | 0.64310 | 0.58774 | 0.47971 | 0.55982 |
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| DiscoResearch/Llama3-DiscoLeo-Instruct-8B-v0.1 | **0.53042** | 0.52867 | 0.59556 | **0.53839** | 0.80721 | 0.66440 | 0.61898 | 0.56053 | **0.60552** |
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| **DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1** | 0.52749 | **0.53245** | 0.58788 | 0.53754 | 0.80770 | **0.66709** | 0.62123 | **0.56238** | 0.60547 |
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## Model Configurations
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We release DiscoLeo-8B in the following configurations:
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1. [Base model with continued pretraining](https://huggingface.co/DiscoResearch/Llama3-German_8B)
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2. [Long-context version (32k context length)](https://huggingface.co/DiscoResearch/Llama3_German_8B_32k)
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3. [Instruction-tuned version of the base model](https://huggingface.co/DiscoResearch/Llama3_DiscoLeo_Instruct_8B_v0.1)
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4. [Instruction-tuned version of the long-context model](https://huggingface.co/DiscoResearch/Llama3_DiscoLeo_Instruct_8B_32k_v0.1) (This model)
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5. [Experimental `DARE-TIES` Merge with Llama3-Instruct](https://huggingface.co/DiscoResearch/Llama3_DiscoLeo_8B_DARE_Experimental)
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6. [Collection of Quantized versions](https://huggingface.co/collections/DiscoResearch/discoleo-8b-quants-6651bcf8f72c9a37ce485d42)
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## Usage Example
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Here's how to use the model with 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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device="cuda"
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model = AutoModelForCausalLM.from_pretrained(
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"DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1",
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torch_dtype="auto",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("DiscoResearch/Llama3-DiscoLeo-Instruct-8B-32k-v0.1")
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prompt = "Schreibe ein Essay über die Bedeutung der Energiewende für Deutschlands Wirtschaft"
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messages = [
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{"role": "system", "content": "Du bist ein hilfreicher Assistent."},
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(device)
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generated_ids = model.generate(
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model_inputs.input_ids,
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max_new_tokens=512
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)
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generated_ids = [
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
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]
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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```
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## Acknowledgements
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The model was trained and evaluated by [Björn Plüster](https://huggingface.co/bjoernp) ([DiscoResearch](https://huggingface.co/DiscoResearch), [ellamind](https://ellamind.com)) with data preparation and project supervision by [Manuel Brack](http://manuel-brack.eu) ([DFKI](https://www.dfki.de/web/), [TU-Darmstadt](https://www.tu-darmstadt.de/)). Initial work on dataset collection and curation was performed by [Malte Ostendorff](https://ostendorff.org) and [Pedro Ortiz Suarez](https://portizs.eu). Instruction tuning was done with the DiscoLM German dataset created by [Jan-Philipp Harries](https://huggingface.co/jphme) and [Daniel Auras](https://huggingface.co/rasdani) ([DiscoResearch](https://huggingface.co/DiscoResearch), [ellamind](https://ellamind.com)). We extend our gratitude to [LAION](https://laion.ai/) and friends, especially [Christoph Schuhmann](https://entwickler.de/experten/christoph-schuhmann) and [Jenia Jitsev](https://huggingface.co/JJitsev), for initiating this collaboration.
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The model training was supported by a compute grant at the [42 supercomputer](https://hessian.ai/) which is a central component in the development of [hessian AI](https://hessian.ai/), the [AI Innovation Lab](https://hessian.ai/infrastructure/ai-innovationlab/) (funded by the [Hessian Ministry of Higher Education, Research and the Art (HMWK)](https://wissenschaft.hessen.de) & the [Hessian Ministry of the Interior, for Security and Homeland Security (HMinD)](https://innen.hessen.de)) and the [AI Service Centers](https://hessian.ai/infrastructure/ai-service-centre/) (funded by the [Federal Ministry of Education and Research (BMBF)](https://www.bmbf.de/)).
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The curation of the training data is partially funded by the [German Federal Ministry for Economic Affairs and Climate Action (BMWK)](https://www.bmwk.de/Navigation/EN/Home/home.html)
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through the project [OpenGPT-X](https://opengpt-x.de/en/) (project no. 68GX21007D).
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{
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"_name_or_path": "./discoleo_long",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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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": 14336,
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"max_position_embeddings": 65536,
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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": 8,
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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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"rope_theta": 1500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": false,
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"vocab_size": 128256
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}
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"top_p": 0.9,
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"transformers_version": "4.40.2"
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||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
281
special_tokens_map.json
Normal file
281
special_tokens_map.json
Normal file
@@ -0,0 +1,281 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|begin_of_text|>",
|
||||
"<|end_of_text|>",
|
||||
"<|reserved_special_token_0|>",
|
||||
"<|reserved_special_token_1|>",
|
||||
"<|reserved_special_token_2|>",
|
||||
"<|reserved_special_token_3|>",
|
||||
"<|start_header_id|>",
|
||||
"<|end_header_id|>",
|
||||
"<|reserved_special_token_4|>",
|
||||
"<|eot_id|>",
|
||||
"<|reserved_special_token_5|>",
|
||||
"<|reserved_special_token_6|>",
|
||||
"<|reserved_special_token_7|>",
|
||||
"<|reserved_special_token_8|>",
|
||||
"<|reserved_special_token_9|>",
|
||||
"<|reserved_special_token_10|>",
|
||||
"<|reserved_special_token_11|>",
|
||||
"<|reserved_special_token_12|>",
|
||||
"<|reserved_special_token_13|>",
|
||||
"<|reserved_special_token_14|>",
|
||||
"<|reserved_special_token_15|>",
|
||||
"<|reserved_special_token_16|>",
|
||||
"<|reserved_special_token_17|>",
|
||||
"<|reserved_special_token_18|>",
|
||||
"<|reserved_special_token_19|>",
|
||||
"<|reserved_special_token_20|>",
|
||||
"<|reserved_special_token_21|>",
|
||||
"<|reserved_special_token_22|>",
|
||||
"<|reserved_special_token_23|>",
|
||||
"<|reserved_special_token_24|>",
|
||||
"<|reserved_special_token_25|>",
|
||||
"<|reserved_special_token_26|>",
|
||||
"<|reserved_special_token_27|>",
|
||||
"<|reserved_special_token_28|>",
|
||||
"<|reserved_special_token_29|>",
|
||||
"<|reserved_special_token_30|>",
|
||||
"<|reserved_special_token_31|>",
|
||||
"<|reserved_special_token_32|>",
|
||||
"<|reserved_special_token_33|>",
|
||||
"<|reserved_special_token_34|>",
|
||||
"<|reserved_special_token_35|>",
|
||||
"<|reserved_special_token_36|>",
|
||||
"<|reserved_special_token_37|>",
|
||||
"<|reserved_special_token_38|>",
|
||||
"<|reserved_special_token_39|>",
|
||||
"<|reserved_special_token_40|>",
|
||||
"<|reserved_special_token_41|>",
|
||||
"<|reserved_special_token_42|>",
|
||||
"<|reserved_special_token_43|>",
|
||||
"<|reserved_special_token_44|>",
|
||||
"<|reserved_special_token_45|>",
|
||||
"<|reserved_special_token_46|>",
|
||||
"<|reserved_special_token_47|>",
|
||||
"<|reserved_special_token_48|>",
|
||||
"<|reserved_special_token_49|>",
|
||||
"<|reserved_special_token_50|>",
|
||||
"<|reserved_special_token_51|>",
|
||||
"<|reserved_special_token_52|>",
|
||||
"<|reserved_special_token_53|>",
|
||||
"<|reserved_special_token_54|>",
|
||||
"<|reserved_special_token_55|>",
|
||||
"<|reserved_special_token_56|>",
|
||||
"<|reserved_special_token_57|>",
|
||||
"<|reserved_special_token_58|>",
|
||||
"<|reserved_special_token_59|>",
|
||||
"<|reserved_special_token_60|>",
|
||||
"<|reserved_special_token_61|>",
|
||||
"<|reserved_special_token_62|>",
|
||||
"<|reserved_special_token_63|>",
|
||||
"<|reserved_special_token_64|>",
|
||||
"<|reserved_special_token_65|>",
|
||||
"<|reserved_special_token_66|>",
|
||||
"<|reserved_special_token_67|>",
|
||||
"<|reserved_special_token_68|>",
|
||||
"<|reserved_special_token_69|>",
|
||||
"<|reserved_special_token_70|>",
|
||||
"<|reserved_special_token_71|>",
|
||||
"<|reserved_special_token_72|>",
|
||||
"<|reserved_special_token_73|>",
|
||||
"<|reserved_special_token_74|>",
|
||||
"<|reserved_special_token_75|>",
|
||||
"<|reserved_special_token_76|>",
|
||||
"<|reserved_special_token_77|>",
|
||||
"<|reserved_special_token_78|>",
|
||||
"<|reserved_special_token_79|>",
|
||||
"<|reserved_special_token_80|>",
|
||||
"<|reserved_special_token_81|>",
|
||||
"<|reserved_special_token_82|>",
|
||||
"<|reserved_special_token_83|>",
|
||||
"<|reserved_special_token_84|>",
|
||||
"<|reserved_special_token_85|>",
|
||||
"<|reserved_special_token_86|>",
|
||||
"<|reserved_special_token_87|>",
|
||||
"<|reserved_special_token_88|>",
|
||||
"<|reserved_special_token_89|>",
|
||||
"<|reserved_special_token_90|>",
|
||||
"<|reserved_special_token_91|>",
|
||||
"<|reserved_special_token_92|>",
|
||||
"<|reserved_special_token_93|>",
|
||||
"<|reserved_special_token_94|>",
|
||||
"<|reserved_special_token_95|>",
|
||||
"<|reserved_special_token_96|>",
|
||||
"<|reserved_special_token_97|>",
|
||||
"<|reserved_special_token_98|>",
|
||||
"<|reserved_special_token_99|>",
|
||||
"<|reserved_special_token_100|>",
|
||||
"<|reserved_special_token_101|>",
|
||||
"<|reserved_special_token_102|>",
|
||||
"<|reserved_special_token_103|>",
|
||||
"<|reserved_special_token_104|>",
|
||||
"<|reserved_special_token_105|>",
|
||||
"<|reserved_special_token_106|>",
|
||||
"<|reserved_special_token_107|>",
|
||||
"<|reserved_special_token_108|>",
|
||||
"<|reserved_special_token_109|>",
|
||||
"<|reserved_special_token_110|>",
|
||||
"<|reserved_special_token_111|>",
|
||||
"<|reserved_special_token_112|>",
|
||||
"<|reserved_special_token_113|>",
|
||||
"<|reserved_special_token_114|>",
|
||||
"<|reserved_special_token_115|>",
|
||||
"<|reserved_special_token_116|>",
|
||||
"<|reserved_special_token_117|>",
|
||||
"<|reserved_special_token_118|>",
|
||||
"<|reserved_special_token_119|>",
|
||||
"<|reserved_special_token_120|>",
|
||||
"<|reserved_special_token_121|>",
|
||||
"<|reserved_special_token_122|>",
|
||||
"<|reserved_special_token_123|>",
|
||||
"<|reserved_special_token_124|>",
|
||||
"<|reserved_special_token_125|>",
|
||||
"<|reserved_special_token_126|>",
|
||||
"<|reserved_special_token_127|>",
|
||||
"<|reserved_special_token_128|>",
|
||||
"<|reserved_special_token_129|>",
|
||||
"<|reserved_special_token_130|>",
|
||||
"<|reserved_special_token_131|>",
|
||||
"<|reserved_special_token_132|>",
|
||||
"<|reserved_special_token_133|>",
|
||||
"<|reserved_special_token_134|>",
|
||||
"<|reserved_special_token_135|>",
|
||||
"<|reserved_special_token_136|>",
|
||||
"<|reserved_special_token_137|>",
|
||||
"<|reserved_special_token_138|>",
|
||||
"<|reserved_special_token_139|>",
|
||||
"<|reserved_special_token_140|>",
|
||||
"<|reserved_special_token_141|>",
|
||||
"<|reserved_special_token_142|>",
|
||||
"<|reserved_special_token_143|>",
|
||||
"<|reserved_special_token_144|>",
|
||||
"<|reserved_special_token_145|>",
|
||||
"<|reserved_special_token_146|>",
|
||||
"<|reserved_special_token_147|>",
|
||||
"<|reserved_special_token_148|>",
|
||||
"<|reserved_special_token_149|>",
|
||||
"<|reserved_special_token_150|>",
|
||||
"<|reserved_special_token_151|>",
|
||||
"<|reserved_special_token_152|>",
|
||||
"<|reserved_special_token_153|>",
|
||||
"<|reserved_special_token_154|>",
|
||||
"<|reserved_special_token_155|>",
|
||||
"<|reserved_special_token_156|>",
|
||||
"<|reserved_special_token_157|>",
|
||||
"<|reserved_special_token_158|>",
|
||||
"<|reserved_special_token_159|>",
|
||||
"<|reserved_special_token_160|>",
|
||||
"<|reserved_special_token_161|>",
|
||||
"<|reserved_special_token_162|>",
|
||||
"<|reserved_special_token_163|>",
|
||||
"<|reserved_special_token_164|>",
|
||||
"<|reserved_special_token_165|>",
|
||||
"<|reserved_special_token_166|>",
|
||||
"<|reserved_special_token_167|>",
|
||||
"<|reserved_special_token_168|>",
|
||||
"<|reserved_special_token_169|>",
|
||||
"<|reserved_special_token_170|>",
|
||||
"<|reserved_special_token_171|>",
|
||||
"<|reserved_special_token_172|>",
|
||||
"<|reserved_special_token_173|>",
|
||||
"<|reserved_special_token_174|>",
|
||||
"<|reserved_special_token_175|>",
|
||||
"<|reserved_special_token_176|>",
|
||||
"<|reserved_special_token_177|>",
|
||||
"<|reserved_special_token_178|>",
|
||||
"<|reserved_special_token_179|>",
|
||||
"<|reserved_special_token_180|>",
|
||||
"<|reserved_special_token_181|>",
|
||||
"<|reserved_special_token_182|>",
|
||||
"<|reserved_special_token_183|>",
|
||||
"<|reserved_special_token_184|>",
|
||||
"<|reserved_special_token_185|>",
|
||||
"<|reserved_special_token_186|>",
|
||||
"<|reserved_special_token_187|>",
|
||||
"<|reserved_special_token_188|>",
|
||||
"<|reserved_special_token_189|>",
|
||||
"<|reserved_special_token_190|>",
|
||||
"<|reserved_special_token_191|>",
|
||||
"<|reserved_special_token_192|>",
|
||||
"<|reserved_special_token_193|>",
|
||||
"<|reserved_special_token_194|>",
|
||||
"<|reserved_special_token_195|>",
|
||||
"<|reserved_special_token_196|>",
|
||||
"<|reserved_special_token_197|>",
|
||||
"<|reserved_special_token_198|>",
|
||||
"<|reserved_special_token_199|>",
|
||||
"<|reserved_special_token_200|>",
|
||||
"<|reserved_special_token_201|>",
|
||||
"<|reserved_special_token_202|>",
|
||||
"<|reserved_special_token_203|>",
|
||||
"<|reserved_special_token_204|>",
|
||||
"<|reserved_special_token_205|>",
|
||||
"<|reserved_special_token_206|>",
|
||||
"<|reserved_special_token_207|>",
|
||||
"<|reserved_special_token_208|>",
|
||||
"<|reserved_special_token_209|>",
|
||||
"<|reserved_special_token_210|>",
|
||||
"<|reserved_special_token_211|>",
|
||||
"<|reserved_special_token_212|>",
|
||||
"<|reserved_special_token_213|>",
|
||||
"<|reserved_special_token_214|>",
|
||||
"<|reserved_special_token_215|>",
|
||||
"<|reserved_special_token_216|>",
|
||||
"<|reserved_special_token_217|>",
|
||||
"<|reserved_special_token_218|>",
|
||||
"<|reserved_special_token_219|>",
|
||||
"<|reserved_special_token_220|>",
|
||||
"<|reserved_special_token_221|>",
|
||||
"<|reserved_special_token_222|>",
|
||||
"<|reserved_special_token_223|>",
|
||||
"<|reserved_special_token_224|>",
|
||||
"<|reserved_special_token_225|>",
|
||||
"<|reserved_special_token_226|>",
|
||||
"<|reserved_special_token_227|>",
|
||||
"<|reserved_special_token_228|>",
|
||||
"<|reserved_special_token_229|>",
|
||||
"<|reserved_special_token_230|>",
|
||||
"<|reserved_special_token_231|>",
|
||||
"<|reserved_special_token_232|>",
|
||||
"<|reserved_special_token_233|>",
|
||||
"<|reserved_special_token_234|>",
|
||||
"<|reserved_special_token_235|>",
|
||||
"<|reserved_special_token_236|>",
|
||||
"<|reserved_special_token_237|>",
|
||||
"<|reserved_special_token_238|>",
|
||||
"<|reserved_special_token_239|>",
|
||||
"<|reserved_special_token_240|>",
|
||||
"<|reserved_special_token_241|>",
|
||||
"<|reserved_special_token_242|>",
|
||||
"<|reserved_special_token_243|>",
|
||||
"<|reserved_special_token_244|>",
|
||||
"<|reserved_special_token_245|>",
|
||||
"<|reserved_special_token_246|>",
|
||||
"<|reserved_special_token_247|>",
|
||||
"<|reserved_special_token_248|>",
|
||||
"<|reserved_special_token_249|>",
|
||||
"<|reserved_special_token_250|>"
|
||||
],
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2321
tokenizer_config.json
Normal file
2321
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user