Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
openchat/openchat-3.5-0106
giux78/zefiro-7b-beta-ITA-v0.1
azale-ai/Starstreak-7b-beta
gagan3012/Mistral_arabic_dpo
davidkim205/komt-mistral-7b-v1
OpenBuddy/openbuddy-zephyr-7b-v14.1
manishiitg/open-aditi-hi-v1
VAGOsolutions/SauerkrautLM-7b-v1-mistral
conversational
Eval Results
text-generation-inference
Inference Endpoints
Upload folder using huggingface_hub
Browse files- README.md +103 -0
- config.json +30 -0
- mergekit_moe_config.yml +49 -0
- model-00001-of-00010.safetensors +3 -0
- model-00002-of-00010.safetensors +3 -0
- model-00003-of-00010.safetensors +3 -0
- model-00004-of-00010.safetensors +3 -0
- model-00005-of-00010.safetensors +3 -0
- model-00006-of-00010.safetensors +3 -0
- model-00007-of-00010.safetensors +3 -0
- model-00008-of-00010.safetensors +3 -0
- model-00009-of-00010.safetensors +3 -0
- model-00010-of-00010.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: apache-2.0
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tags:
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- moe
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- mixtral
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- openchat/openchat-3.5-0106
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- giux78/zefiro-7b-beta-ITA-v0.1
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- azale-ai/Starstreak-7b-beta
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- gagan3012/Mistral_arabic_dpo
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- davidkim205/komt-mistral-7b-v1
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- OpenBuddy/openbuddy-zephyr-7b-v14.1
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- manishiitg/open-aditi-hi-v1
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- VAGOsolutions/SauerkrautLM-7b-v1-mistral
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---
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# Multilingual-mistral
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This model is a Mixure of Experts (MoE) made with [mergekit](https://github.com/cg123/mergekit) (mixtral branch). It uses the following base models:
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* [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
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* [giux78/zefiro-7b-beta-ITA-v0.1](https://huggingface.co/giux78/zefiro-7b-beta-ITA-v0.1)
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* [azale-ai/Starstreak-7b-beta](https://huggingface.co/azale-ai/Starstreak-7b-beta)
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* [gagan3012/Mistral_arabic_dpo](https://huggingface.co/gagan3012/Mistral_arabic_dpo)
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* [davidkim205/komt-mistral-7b-v1](https://huggingface.co/davidkim205/komt-mistral-7b-v1)
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* [OpenBuddy/openbuddy-zephyr-7b-v14.1](https://huggingface.co/OpenBuddy/openbuddy-zephyr-7b-v14.1)
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* [manishiitg/open-aditi-hi-v1](https://huggingface.co/manishiitg/open-aditi-hi-v1)
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* [VAGOsolutions/SauerkrautLM-7b-v1-mistral](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-v1-mistral)
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## 🧩 Configuration
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```yamlbase_model: mistralai/Mistral-7B-Instruct-v0.2
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dtype: bfloat16
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experts:
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- positive_prompts:
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- chat
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- assistant
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- tell me
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- explain
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source_model: openchat/openchat-3.5-0106
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- positive_prompts:
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- chat
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- assistant
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- tell me
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- explain
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source_model: giux78/zefiro-7b-beta-ITA-v0.1
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- positive_prompts:
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- indonesian
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- indonesia
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- answer in indonesian
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source_model: azale-ai/Starstreak-7b-beta
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- positive_prompts:
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- arabic
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- arab
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- arabia
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- answer in arabic
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source_model: gagan3012/Mistral_arabic_dpo
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- positive_prompts:
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- korean
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- answer in korean
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- korea
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source_model: davidkim205/komt-mistral-7b-v1
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- positive_prompts:
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- chinese
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- china
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- answer in chinese
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source_model: OpenBuddy/openbuddy-zephyr-7b-v14.1
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- positive_prompts:
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- hindi
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- india
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- hindu
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- answer in hindi
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source_model: manishiitg/open-aditi-hi-v1
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- positive_prompts:
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- german
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- germany
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- answer in german
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- deutsch
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source_model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
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gate_mode: hidden
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```
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## 💻 Usage
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```python
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!pip install -qU transformers bitsandbytes 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 = "gagan3012/Multilingual-mistral"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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)
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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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": "mistralai/Mistral-7B-Instruct-v0.2",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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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": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 8,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: openchat/openchat-3.5-0106
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+
positive_prompts:
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- "chat"
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+
- "assistant"
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- "tell me"
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- "explain"
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- source_model: giux78/zefiro-7b-beta-ITA-v0.1
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positive_prompts:
|
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- "chat"
|
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+
- "assistant"
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- "tell me"
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- "explain"
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- source_model: azale-ai/Starstreak-7b-beta
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positive_prompts:
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- "indonesian"
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- "indonesia"
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- "answer in indonesian"
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- source_model: gagan3012/Mistral_arabic_dpo
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positive_prompts:
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- "arabic"
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- "arab"
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- "arabia"
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- "answer in arabic"
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- source_model: davidkim205/komt-mistral-7b-v1
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positive_prompts:
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- "korean"
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- "answer in korean"
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- "korea"
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+
- source_model: OpenBuddy/openbuddy-zephyr-7b-v14.1
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positive_prompts:
|
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- "chinese"
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+
- "china"
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- "answer in chinese"
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- source_model: manishiitg/open-aditi-hi-v1
|
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positive_prompts:
|
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- "hindi"
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+
- "india"
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- "hindu"
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- "answer in hindi"
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- source_model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
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positive_prompts:
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- "german"
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- "germany"
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- "answer in german"
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- "deutsch"
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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4 |
+
"lstrip": false,
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5 |
+
"normalized": false,
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6 |
+
"rstrip": false,
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7 |
+
"single_word": false
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8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
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11 |
+
"lstrip": false,
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12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
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+
},
|
16 |
+
"pad_token": "<s>",
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17 |
+
"unk_token": {
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+
"content": "<unk>",
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+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
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+
"single_word": false
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+
}
|
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
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+
{
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+
"add_bos_token": true,
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3 |
+
"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
|
6 |
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"content": "<unk>",
|
7 |
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"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
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+
},
|
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+
"1": {
|
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+
"content": "<s>",
|
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+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
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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,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "<s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
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