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Browse files- README.md +86 -0
- config.json +34 -0
- mergekit_moe_config.yml +11 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00003.safetensors +3 -0
- output-00002-of-00003.safetensors +3 -0
- output-00003-of-00003.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +41 -0
README.md
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---
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license: other
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license_name: yi-license
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license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
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tags:
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- yi
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- moe
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---
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/mLH2E0dk9On_LcFX9yhuS.jpeg)
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# Bagel-Hermes-2x34B
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This is the model for Bagel-Hermes-2x34B. I used [mergekit](https://github.com/cg123/mergekit) to make this MOE model.
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# Prompt Template(s):
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Since [bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2) uses many prompt templates, and [Nous-Hermes-2-Yi-34B](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B) uses ChatML, you can utilize ChatML and other prompt templates provided by bagel.
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**Note:** I currently do not know which prompt template is best.
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### ChatML:
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```
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<|im_start|>system
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{system}<|im_end|>
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<|im_start|>user
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{user}<|im_end|>
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<|im_start|>assistant
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{asistant}<|im_end|>
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```
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### Alpaca (sort of)
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request.
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### Instruction:
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{system}
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{instruction}
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### Response:
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```
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### Vicuna
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```
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{system}
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USER: {instruction}
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ASSISTANT:
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```
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Visit [bagel-dpo-34b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-34b-v0.2) to try more prompt templates.
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# Yaml Config to reproduce
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```yaml
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base_model: nontoxic-bagel-34b-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: bagel-dpo-34b-v0.2
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positive_prompts: ["question answering", "Q:", science", "biology", "chemistry", "physics"]
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- source_model: Nous-Hermes-2-Yi-34B
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positive_prompts: ["chat", "math", "reason", "mathematics", "solve", "count", "python", "javascript", "programming", "algorithm", "tell me", "assistant"]
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```
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# Quantizationed versions
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Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke).
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##### GPTQ
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- [TheBloke/Bagel-Hermes-2x34B-GPTQ](https://huggingface.co/TheBloke/Bagel-Hermes-2x34B-GPTQ)
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##### GGUF
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- [TheBloke/Bagel-Hermes-2x34B-GGUF](https://huggingface.co/TheBloke/Bagel-Hermes-2x34B-GGUF)
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##### AWQ
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- [TheBloke/Bagel-Hermes-2x34B-AWQ](https://huggingface.co/TheBloke/Bagel-Hermes-2x34B-AWQ)
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If you would like to support me:
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[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
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config.json
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{
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"_name_or_path": "nontoxic-bagel-34b-v0.2",
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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": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 200000,
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"model_type": "mixtral",
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"num_attention_heads": 56,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"num_local_experts": 2,
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"output_router_logits": false,
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"pad_token_id": 0,
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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": 5000000.0,
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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": 64000
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}
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mergekit_moe_config.yml
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base_model: nontoxic-bagel-34b-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: bagel-dpo-34b-v0.2
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positive_prompts: ["question answering", "Q:", science", "biology", "chemistry", "physics"]
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- source_model: Nous-Hermes-2-Yi-34B
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positive_prompts: ["chat", "math", "reason", "mathematics", "solve", "count", "python", "javascript", "programming", "algorithm", "tell me", "assistant"]
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model.safetensors.index.json
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