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Browse files- README.md +67 -0
- config.json +25 -0
- mergekit_config.yml +21 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
README.md
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- SciPhi/SciPhi-Mistral-7B-32k
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- SciPhi/SciPhi-Mistral-7B-32k
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base_model:
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- SciPhi/SciPhi-Mistral-7B-32k
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- SciPhi/SciPhi-Mistral-7B-32k
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---
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# SciPhi-Mistral-7B-32k-sliced
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SciPhi-Mistral-7B-32k-sliced is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k)
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* [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: SciPhi/SciPhi-Mistral-7B-32k
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layer_range: [0, 6]
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- model: SciPhi/SciPhi-Mistral-7B-32k
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layer_range: [26, 32]
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merge_method: slerp
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base_model: SciPhi/SciPhi-Mistral-7B-32k
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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tokenizer_source: union
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dtype: float16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "jtatman/SciPhi-Mistral-7B-32k-sliced"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "SciPhi/SciPhi-Mistral-7B-32k",
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"architectures": [
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"MistralForCausalLM"
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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": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 6,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: SciPhi/SciPhi-Mistral-7B-32k
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layer_range: [0, 6]
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- model: SciPhi/SciPhi-Mistral-7B-32k
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layer_range: [26, 32]
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merge_method: slerp
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base_model: SciPhi/SciPhi-Mistral-7B-32k
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5 # fallback for rest of tensors
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tokenizer_source: union
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dtype: float16
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e069cd6fe20d18182217761975571ea09843bd9995d2719c94ce9de7d78bf7e
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size 1950412224
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2f51b0d31f7f14e7177bd51a0e6262bd71bdf033db5a4161c875a04772c83c6
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size 1191234456
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4.1"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00002.safetensors", "lm_head.weight": "model-00001-of-00002.safetensors", "model.norm.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.2.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.2.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.1.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.1.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.0.mlp.down_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.mlp.gate_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.mlp.up_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.0.input_layernorm.weight": "model-00002-of-00002.safetensors"}}
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": false
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": false
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}
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},
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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