---
license: apache-2.0
tags:
- moe
- openchat
- hermes
- dolphin
- bagel
model-index:
- name: Draco-8x7B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 65.02
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Draco-8x7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 85.24
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Draco-8x7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.96
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Draco-8x7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 62.65
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Draco-8x7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 80.66
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Draco-8x7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 66.79
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/Draco-8x7B
name: Open LLM Leaderboard
---
# 💫 Draco-8x7B
This is the model for Draco-8x7B. I used [this repo](https://bit.ly/weyaxi-moe-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.
| Number of experts per token | Link of the branch |
| ---------------------------- | -------------------------------------------------------------------------------------------|
| 2 | [Main](https://huggingface.co/Weyaxi/Draco-8x7B/tree/main) |
| 3 | [3-experts-per-token](https://huggingface.co/Weyaxi/Draco-8x7B/tree/3-experts-per-token) |
| 4 | [4-experts-per-token](https://huggingface.co/Weyaxi/Draco-8x7B/tree/4-experts-per-token) |
| 6 | [6-experts-per-token](https://huggingface.co/Weyaxi/Draco-8x7B/tree/6-experts-per-token) |
| 8 | [8-experts-per-token](https://huggingface.co/Weyaxi/Draco-8x7B/tree/8-experts-per-token) |
# 💬 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](https://huggingface.co/openchat/openchat-3.5-0106)'s chat template.
**Note 2:** It is also important to note that [jondurbin/bagel-dpo-7b-v0.1](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.1) is using many prompt templates other than I provided. You can visit [jondurbin/bagel-dpo-7b-v0.1](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.1) to learn more about this templates.
### GPT4 Correct
Used in [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106), [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggingface.co/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](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B), [jondurbin/bagel-dpo-7b-v0.1](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.1), [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser), [senseable/WestLake-7B-v2](https://huggingface.co/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](https://huggingface.co/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
See config
```yaml
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"
```
# 🔄 Quantizationed versions
Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke).
##### GPTQ
- [TheBloke/Draco-8x7B-GPTQ](https://huggingface.co/TheBloke/Draco-8x7B-GPTQ)
##### GGUF
- [TheBloke/Draco-8x7B-GGUF](https://huggingface.co/TheBloke/Draco-8x7B-GGUF)
##### AWQ
- [TheBloke/Draco-8x7B-AWQ](https://huggingface.co/TheBloke/Draco-8x7B-AWQ)
If you would like to support me:
[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_PulsarAI__Draco-8x7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |70.89|
|AI2 Reasoning Challenge (25-Shot)|65.02|
|HellaSwag (10-Shot) |85.24|
|MMLU (5-Shot) |64.96|
|TruthfulQA (0-shot) |62.65|
|Winogrande (5-shot) |80.66|
|GSM8k (5-shot) |66.79|