Steelskull
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Browse files- README.md +42 -24
- config.json +34 -0
- mergekit_moe_config.yml +12 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.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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---
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#
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## Model Details
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### Model Description
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This MoE model is an extreme experiment, I wanted to test making an MoE out of multiple High Performing Solar models. Let me know what you think.
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Thinking about finetuning on a RP dataset later on to direct the model more
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- **Model type:** Solar-10.7
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### Model Sources [optional]
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model_name: Lumosia-MoE-4x10.7
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base_model: DopeorNope/SOLARC-M-10.7B
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: DopeorNope/SOLARC-M-10.7B
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positive_prompts: [""]
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- source_model: kyujinpy/Sakura-SOLAR-Instruct
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positive_prompts: [""]
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- source_model: jeonsworld/CarbonVillain-en-10.7B-v1
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positive_prompts: [""]
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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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- DopeorNope/SOLARC-M-10.7B
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- maywell/PiVoT-10.7B-Mistral-v0.2-RP
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- kyujinpy/Sakura-SOLAR-Instruct
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- jeonsworld/CarbonVillain-en-10.7B-v1
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---
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# Lumosia-MoE-4x10.7
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Lumosia-MoE-4x10.7 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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* [DopeorNope/SOLARC-M-10.7B](https://huggingface.co/DopeorNope/SOLARC-M-10.7B)
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* [maywell/PiVoT-10.7B-Mistral-v0.2-RP](https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2-RP)
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* [kyujinpy/Sakura-SOLAR-Instruct](https://huggingface.co/kyujinpy/Sakura-SOLAR-Instruct)
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* [jeonsworld/CarbonVillain-en-10.7B-v1](https://huggingface.co/jeonsworld/CarbonVillain-en-10.7B-v1)
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## 🧩 Configuration
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```yamlbase_model: DopeorNope/SOLARC-M-10.7B
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: DopeorNope/SOLARC-M-10.7B
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positive_prompts: [""]
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- source_model: kyujinpy/Sakura-SOLAR-Instruct
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positive_prompts: [""]
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- source_model: jeonsworld/CarbonVillain-en-10.7B-v1
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positive_prompts: [""]```
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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 = "Steelskull/Lumosia-MoE-4x10.7"
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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": "DopeorNope/SOLARC-M-10.7B",
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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": 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": 4096,
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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": 48,
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"num_key_value_heads": 8,
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"num_local_experts": 4,
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"output_router_logits": false,
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"pad_token_id": 2,
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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": 10000.0,
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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": "float32",
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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: DopeorNope/SOLARC-M-10.7B
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: DopeorNope/SOLARC-M-10.7B
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positive_prompts: [""]
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- source_model: maywell/PiVoT-10.7B-Mistral-v0.2-RP
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positive_prompts: [""]
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- source_model: kyujinpy/Sakura-SOLAR-Instruct
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positive_prompts: [""]
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- source_model: jeonsworld/CarbonVillain-en-10.7B-v1
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positive_prompts: [""]
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
ADDED
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version https://git-lfs.github.com/spec/v1
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size 493443
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tokenizer_config.json
ADDED
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