Draco-8x7B

💫 Draco-8x7B

This is the model for Draco-8x7B. I used this repo to make this MOE model.

This model's experts are not using any merged models.

📚 Other branches (Number of Experts Per Token)

Other branches that this repository contains differ only slightly (from a git diff perspective) in terms of the number of experts per token.

Usually, a higher value for the number of experts per token will result in better performance, but it may also lead to increased inference time.

💬 Prompt Template(s):

This model includes many models, so providing only one prompt template is not enough. You can use and try these prompt templates and decide which works best for you.

Note: The current chat template in the tokenizer config is set to openchat-3.5-0106's chat template.

Note 2: It is also important to note that jondurbin/bagel-dpo-7b-v0.1 is using many prompt templates other than I provided. You can visit jondurbin/bagel-dpo-7b-v0.1 to learn more about this templates.

GPT4 Correct

Used in openchat/openchat-3.5-0106, beowolx/CodeNinja-1.0-OpenChat-7B

GPT4 Correct User: {user}<|end_of_turn|>GPT4 Correct Assistant: {asistant}<|end_of_turn|>

ChatML:

Used in teknium/OpenHermes-2.5-Mistral-7B, jondurbin/bagel-dpo-7b-v0.1, cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser, senseable/WestLake-7B-v2

<|im_start|>system
{system}<|im_end|>
<|im_start|>user
{user}<|im_end|>
<|im_start|>assistant
{asistant}<|im_end|>

Math Alpaca

Used in meta-math/MetaMath-Mistral-7B

Below is an instruction that describes a task. Write a response that appropriately completes the request.

### Instruction:
{instruction}

### Response: Let's think step by step.

🛠️ Yaml Config

<details><summary>See config</summary>

base_model: openchat/openchat-3.5-0106
gate_mode: hidden
dtype: bfloat16

experts:
  - source_model: openchat/openchat-3.5-0106
    positive_prompts: # General (Mistral finetune)
    - "chat"
    - "assistant"
    - "tell me"
    - "explain"

  - source_model: teknium/OpenHermes-2.5-Mistral-7B
    positive_prompts: # General (Mistral finetune)
    - "interact"
    - "converse"
    - "respond"
    - "express"

  - source_model: jondurbin/bagel-dpo-7b-v0.1
    positive_prompts: # Science (Mistral finetune)
    - "science"
    - "biology"
    - "chemistry"
    - "physics"
    - "Newton's laws"
    - "scientific method"
    - "periodic table"
    - "photosynthesis process"

  - source_model: meta-math/MetaMath-Mistral-7B
    positive_prompts: # Math (Mistral finetune)
    - "reason"
    - "math"
    - "mathematics"
    - "solve"
    - "count"

  - source_model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
    positive_prompts: # Uncensored (Mistral finetune)
    - "dolphin"
    - "uncensored"
    - "unbiased"
    - "unfiltered"
    - "unrestricted"
    - "offensive"

  - source_model: beowolx/CodeNinja-1.0-OpenChat-7B
    positive_prompts: # Code (openchat-3.5-1210 finetune)
    - "code"
    - "script"
    - "python"
    - "javascript"
    - "programming"
    - "algorithm"

  - source_model: senseable/WestLake-7B-v2
    positive_prompts: # Roleplay (Unknown finetune)
    - "storywriting"
    - "write"
    - "scene"
    - "story"
    - "character"
    - "act as"
    - "you are"

  - source_model: snorkelai/Snorkel-Mistral-PairRM-DPO
    positive_prompts: # Question Answering (? Mistral-7B-Instruct-v0.2 finetune ?)
    - "what happens"
    - "what is"
    - "what can"
    - "why"
    - "who"
    - "can a"

</details><br>

🔄 Quantizationed versions

Quantizationed versions of this model is available thanks to TheBloke.

GPTQ

• TheBloke/Draco-8x7B-GPTQ

GGUF

• TheBloke/Draco-8x7B-GGUF

AWQ

• TheBloke/Draco-8x7B-AWQ

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Open LLM Leaderboard Evaluation Results

Detailed results can be found here