Upload folder using huggingface_hub
Browse files- README.md +105 -0
- added_tokens.json +5 -0
- config.json +32 -0
- mergekit_moe_config.yml +60 -0
- merges.txt +0 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +9 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- vocab.json +0 -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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- merge
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- mergekit
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- lazymergekit
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- Qwen/Qwen1.5-0.5B
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---
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# TinyQwex-4x620M-MoE
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TinyQwex-4x620M-MoE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
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* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
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* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
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* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
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## 🧩 Configuration
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```yamlbase_model: Qwen/Qwen1.5-0.5B
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experts:
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "reasoning"
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- "logic"
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- "problem-solving"
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- "critical thinking"
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- "analysis"
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- "synthesis"
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- "evaluation"
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- "decision-making"
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- "judgment"
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- "insight"
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "program"
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- "software"
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- "develop"
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- "build"
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- "create"
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- "design"
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- "implement"
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- "debug"
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- "test"
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- "code"
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- "python"
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- "programming"
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- "algorithm"
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- "function"
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "storytelling"
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- "narrative"
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- "fiction"
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- "creative writing"
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- "plot"
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- "characters"
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- "dialogue"
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- "setting"
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- "emotion"
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- "imagination"
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- "scene"
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- "story"
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- "character"
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "chat"
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- "conversation"
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- "dialogue"
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- "discuss"
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- "ask questions"
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- "share thoughts"
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- "explore ideas"
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- "learn new things"
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- "personal assistant"
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- "friendly helper"
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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 = "Isotonic/TinyQwex-4x620M-MoE"
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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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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen1.5-0.5B",
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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": 151643,
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 2816,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "mixtral",
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"num_attention_heads": 16,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"num_local_experts": 4,
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"output_router_logits": false,
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"rms_norm_eps": 1e-06,
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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": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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mergekit_moe_config.yml
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base_model: Qwen/Qwen1.5-0.5B
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experts:
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- source_model: Qwen/Qwen1.5-0.5B
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4 |
+
positive_prompts:
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- "reasoning"
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- "logic"
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- "problem-solving"
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- "critical thinking"
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- "analysis"
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- "synthesis"
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- "evaluation"
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- "decision-making"
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- "judgment"
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- "insight"
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+
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "program"
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+
- "software"
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+
- "develop"
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+
- "build"
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+
- "create"
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- "design"
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- "implement"
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- "debug"
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- "test"
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- "code"
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- "python"
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- "programming"
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- "algorithm"
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- "function"
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+
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "storytelling"
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- "narrative"
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- "fiction"
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- "creative writing"
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- "plot"
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- "characters"
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- "dialogue"
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- "setting"
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- "emotion"
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- "imagination"
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- "scene"
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- "story"
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- "character"
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- source_model: Qwen/Qwen1.5-0.5B
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positive_prompts:
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- "chat"
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- "conversation"
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- "dialogue"
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- "discuss"
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- "ask questions"
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- "share thoughts"
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- "explore ideas"
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- "learn new things"
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- "personal assistant"
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- "friendly helper"
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merges.txt
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model-00001-of-00001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1c7d9c9d8af4bd76377707a8847c8094a710f87431c6ef3c3a7d22284992cde
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size 2484955280
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00001.safetensors", "model.norm.weight": "model-00001-of-00001.safetensors", "lm_head.weight": "model-00001-of-00001.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00001.safetensors", "model.layers.9.input_layernorm.weight": 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{
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+
"additional_special_tokens": [
|
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+
"<|im_start|>",
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+
"<|im_end|>"
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+
],
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+
"bos_token": "<|im_start|>",
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7 |
+
"eos_token": "<|endoftext|>",
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+
"pad_token": "<|endoftext|>"
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+
}
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"additional_special_tokens": [
|
30 |
+
"<|im_start|>",
|
31 |
+
"<|im_end|>"
|
32 |
+
],
|
33 |
+
"bos_token": "<|im_start|>",
|
34 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
35 |
+
"clean_up_tokenization_spaces": false,
|
36 |
+
"eos_token": "<|endoftext|>",
|
37 |
+
"errors": "replace",
|
38 |
+
"model_max_length": 32768,
|
39 |
+
"pad_token": "<|endoftext|>",
|
40 |
+
"split_special_tokens": false,
|
41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
42 |
+
"unk_token": null
|
43 |
+
}
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vocab.json
ADDED
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