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Model: lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B Source: Original Platform
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README.md
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---
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license: apache-2.0
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datasets:
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- lodrick-the-lafted/Hermes-40K
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- garage-bAInd/Open-Platypus
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- jondurbin/airoboros-3.2
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model-index:
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- name: Grafted-Hermetic-Platypus-D-2x7B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 58.87
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 82.89
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 61.96
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 61.02
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 77.43
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 43.29
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B
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name: Open LLM Leaderboard
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---
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<img src=https://huggingface.co/lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B/resolve/main/ghp.png>
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# Grafted-Hermetic-Platypus-D-2x7B
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MoE merge of
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- [Platyboros-Instruct-7B](https://huggingface.co/lodrick-the-lafted/Platyboros-Instruct-7B)
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- [Hermes-Instruct-7B-v0.2](https://huggingface.co/lodrick-the-lafted/Hermes-Instruct-7B-v0.2)
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Basically the same thing as GHP-A.
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<br />
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<br />
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# Prompt Format
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Both the default Mistral-Instruct tags and Alpaca are fine, so either:
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```
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<s>[INST] {sys_prompt} {instruction} [/INST]
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```
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or
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```
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{sys_prompt}
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### Instruction:
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{instruction}
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### Response:
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```
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The tokenizer default is Alpaca this time around.
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<br />
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<br />
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# Usage
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```python
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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 = "lodrick-the-lafted/Grafted-Hermetic-Platypus-A-2x7B"
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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.bfloat16},
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)
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messages = [{"role": "user", "content": "Give me a cooking recipe for an pumpkin pie."}]
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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_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lodrick-the-lafted__Grafted-Hermetic-Platypus-D-2x7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |64.24|
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|AI2 Reasoning Challenge (25-Shot)|58.87|
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|HellaSwag (10-Shot) |82.89|
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|MMLU (5-Shot) |61.96|
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|TruthfulQA (0-shot) |61.02|
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|Winogrande (5-shot) |77.43|
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|GSM8k (5-shot) |43.29|
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30
config.json
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{
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"_name_or_path": "lodrick-the-lafted/Grafted-Hermetic-Platypus-D-2x7B",
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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": 2,
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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": "4.39.0.dev0",
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"use_cache": false,
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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: lodrick-the-lafted/Platyboros-Instruct-7B
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gate_mode: random
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dtype: bfloat16
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experts:
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- source_model: lodrick-the-lafted/Platyboros-Instruct-7B
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positive_prompts: ["math", "gsm8k", "algebra", "problem solving", "instruct", "geometry", "grade school math"]
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- source_model: lodrick-the-lafted/Hermes-Instruct-7B-v0.2
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positive_prompts: ["instruct", "roleplay", "coding", "general purpose"]
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model-00001-of-00003.safetensors
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"eos_token": {
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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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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{%- set ns = namespace(found=false) -%}{%- for message in messages -%}{%- if message['role'] == 'system' -%}{%- set ns.found = true -%}{%- endif -%}{%- endfor -%}{%- if not ns.found -%}{{- 'Below is an instruction that describes a task. Write a response that appropriately completes the request.' + '\n\n' -}}{%- endif %}{%- for message in messages %}{%- if message['role'] == 'system' -%}{{- '' + message['content'] + '\n\n' -}}{%- else -%}{%- if message['role'] == 'user' -%}{{-'### Instruction:\n' + message['content'] + '\n\n'-}}{%- else -%}{{-'### Response:\n' + message['content'] + '\n\n' -}}{%- endif -%}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{-'### Response:\n'-}}{%- endif -%}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"trust_remote_code": false,
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"unk_token": "<unk>",
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"use_default_system_prompt": false,
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"use_fast": true
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}
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