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---
library_name: transformers
tags:
- not-for-all-audiences
model-index:
- name: OpenCrystal-12B-L3
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 40.71
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Darkknight535/OpenCrystal-12B-L3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 31.84
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Darkknight535/OpenCrystal-12B-L3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 7.93
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Darkknight535/OpenCrystal-12B-L3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 7.49
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Darkknight535/OpenCrystal-12B-L3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 5.74
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Darkknight535/OpenCrystal-12B-L3
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 29.34
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Darkknight535/OpenCrystal-12B-L3
name: Open LLM Leaderboard
---
### OpenCrystal-12B-L3
This is a finetuned language model. (I recommend using this one v2 and v2.1 are not good enough)

### 128K??
[L3.1 Variant here](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3.1-128K)
### Instruct Template
Default llama3 instruct and context preset, but here is the one i use.
[Instruct](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3/blob/main/Llama%203%20%5BInstruct%5D.json)
[Context](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3/blob/main/Llama%203%20%5BContext%5D.json)
### Samplers
## Creative
```
Temp : 1.23
Min P : 0.05
Repetition Penalty : 1.05
[And everything else neutral]
```
## Normal
```
Temp : 0.6 - 0.8
Min P : 0.1
Repetition Penalty : 1.1
[And everything else neutral]
```
### Pro Tip
- You can uncheck *Include Names* option in sillytavern, to force it to speak as others dynamically. **Not Recommended**
### Features
- Can speak as other npc automatically.
- Creative (Swipes are crazy.)
- Coherent (Sometime gets horny)
- Output feels like you're using Character.ai
- Follows prompt better
- Likes higher context length. (12K easily tested)
- can summarize and generate image prompts well [The Above image's prompt is generated in a roleplay by this model] (Possible : Due to llama-3-instruct as base)
### Instruct Prompt
```
You're {{char}}, follow {{char}} personality and plot of the story, Don't impersonate as {{user}}, Speak as others NPC except {{user}} when needed. Be Creative, Create various interesting events and situations during the story.
```
### FeedBack
[FeedBack here](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3/discussions/1)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Darkknight535__OpenCrystal-12B-L3)
| Metric |Value|
|-------------------|----:|
|Avg. |20.51|
|IFEval (0-Shot) |40.71|
|BBH (3-Shot) |31.84|
|MATH Lvl 5 (4-Shot)| 7.93|
|GPQA (0-shot) | 7.49|
|MuSR (0-shot) | 5.74|
|MMLU-PRO (5-shot) |29.34|
|