---
base_model: Darkknight535/OpenCrystal-12B-L3
library_name: transformers
tags:
- not-for-all-audiences
- llama-cpp
- gguf-my-repo
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
---

# Triangle104/OpenCrystal-12B-L3-Q5_K_S-GGUF
This model was converted to GGUF format from [`Darkknight535/OpenCrystal-12B-L3`](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Darkknight535/OpenCrystal-12B-L3) for more details on the model.

---
Model details:
-
OpenCrystal-12B-L3

This is a finetuned language model. (I recommend using this one v2 and v2.1 are not good enough)

Rohma
128K??

L3.1 Variant here
Instruct Template

Default llama3 instruct and context preset, but here is the one i use. Instruct Context
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
Open LLM Leaderboard Evaluation Results

Detailed results can be found here
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

---

## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo Triangle104/OpenCrystal-12B-L3-Q5_K_S-GGUF --hf-file opencrystal-12b-l3-q5_k_s.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/OpenCrystal-12B-L3-Q5_K_S-GGUF --hf-file opencrystal-12b-l3-q5_k_s.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/OpenCrystal-12B-L3-Q5_K_S-GGUF --hf-file opencrystal-12b-l3-q5_k_s.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/OpenCrystal-12B-L3-Q5_K_S-GGUF --hf-file opencrystal-12b-l3-q5_k_s.gguf -c 2048
```