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Browse files- README.md +59 -0
- config.json +36 -0
- mergekit_moe_config.yml +12 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +34 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
README.md
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---
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license: apache-2.0
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base_model:
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- tiiuae/Falcon3-10B-Instruct
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- tiiuae/Falcon3-10B-Instruct
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tags:
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- moe
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- frankenmoe
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- merge
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- mergekit
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- lazymergekit
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- tiiuae/Falcon3-10B-Instruct
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---
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# Falcon3-2x10B-MoE-Instruct
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Falcon3-2x10B-MoE-Instruct is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct)
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* [tiiuae/Falcon3-10B-Instruct](https://huggingface.co/tiiuae/Falcon3-10B-Instruct)
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## 🧩 Configuration
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```yaml
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base_model: tiiuae/Falcon3-10B-Instruct
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gate_mode: random
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architecture: mixtral
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dtype: bfloat16
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experts:
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- source_model: tiiuae/Falcon3-10B-Instruct
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positive_prompts:
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- "Help me write a story"
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- source_model: tiiuae/Falcon3-10B-Instruct
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positive_prompts:
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- "Can you explain this?"
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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 = "qingy2024/Falcon3-2x10B-MoE-Instruct"
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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": "tiiuae/Falcon3-10B-Instruct",
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"architectures": [
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"MixtralForCausalLM"
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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": 11,
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"eos_token_id": 11,
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"head_dim": 256,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 23040,
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"max_position_embeddings": 32768,
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"mlp_bias": false,
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"model_type": "mixtral",
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"num_attention_heads": 12,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 40,
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"num_key_value_heads": 4,
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"num_local_experts": 2,
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"output_router_logits": false,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000042,
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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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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": "4.47.1",
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"use_cache": true,
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"vocab_size": 131072
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}
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mergekit_moe_config.yml
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base_model: tiiuae/Falcon3-10B-Instruct
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gate_mode: random
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architecture: mixtral
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dtype: bfloat16
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experts:
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- source_model: tiiuae/Falcon3-10B-Instruct
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positive_prompts:
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- "Help me write a story"
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- source_model: tiiuae/Falcon3-10B-Instruct
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positive_prompts:
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- "Can you explain this?"
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model-00001-of-00004.safetensors
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>EMAIL_ADDRESS<<",
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">>IP_ADDRESS<<",
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"<|startoftext|>",
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">>IP_ADDRESS_0<<",
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">>IP_ADDRESS_1<<",
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">>IP_ADDRESS_2<<",
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">>IP_ADDRESS_3<<",
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">>IP_ADDRESS_4<<",
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">>IP_ADDRESS_5<<",
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">>IP_ADDRESS_6<<",
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">>IP_ADDRESS_7<<",
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">>IP_ADDRESS_8<<",
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">>IP_ADDRESS_9<<",
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">>PASSWORD<<",
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">>KEY<<"
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],
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"eos_token": {
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"content": "<|endoftext|>",
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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
ADDED
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tokenizer_config.json
ADDED
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