Instructions to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2") model = AutoModelForCausalLM.from_pretrained("Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2
- SGLang
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2 with Docker Model Runner:
docker model run hf.co/Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-4_25bpw_exl2
Configuration Parsing Warning:In config.json: "quantization_config.bits" must be an integer
Exllamav2 quant (exl2 / 4.25 bpw) made with ExLlamaV2 v0.1.3
Other EXL2 quants:
| Quant | Model Size | lm_head |
|---|---|---|
Chunky-Lemon-Cookie-11B
This is a merge of pre-trained language models created using mergekit.
GGUF quants:
- https://huggingface.co/backyardai/Chunky-Lemon-Cookie-11B-GGUF
- https://huggingface.co/mradermacher/Chunky-Lemon-Cookie-11B-GGUF
Merge Details
Merge Method
This model was merged using the following methods:
- passthrough
- task arithmetic
Models Merged
The following models were included in the merge:
- SanjiWatsuki/Kunoichi-7B
- SanjiWatsuki/Silicon-Maid-7B
- KatyTheCutie/LemonadeRP-4.5.3
- Sao10K/Fimbulvetr-11B-v2
- mistralai/Mistral-7B-v0.1
Configuration
The following YAML configurations were used to produce this model:
slices:
- sources:
- model: mistralai/Mistral-7B-v0.1
layer_range: [0, 24]
- sources:
- model: mistralai/Mistral-7B-v0.1
layer_range: [8, 32]
merge_method: passthrough
dtype: float16
name: Mistral-11B
---
slices:
- sources:
- model: SanjiWatsuki/Kunoichi-7B
layer_range: [0, 24]
- sources:
- model: SanjiWatsuki/Silicon-Maid-7B
layer_range: [8, 24]
- sources:
- model: KatyTheCutie/LemonadeRP-4.5.3
layer_range: [24, 32]
merge_method: passthrough
dtype: float16
name: Big-Lemon-Cookie-11B
---
models:
- model: Big-Lemon-Cookie-11B
parameters:
weight: 0.85
- model: Sao10K/Fimbulvetr-11B-v2
parameters:
weight: 0.15
merge_method: task_arithmetic
base_model: Mistral-11B
dtype: float16
name: Chunky-Lemon-Cookie-11B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 70.23 |
| AI2 Reasoning Challenge (25-Shot) | 69.62 |
| HellaSwag (10-Shot) | 86.55 |
| MMLU (5-Shot) | 65.35 |
| TruthfulQA (0-shot) | 61.59 |
| Winogrande (5-shot) | 79.79 |
| GSM8k (5-shot) | 58.45 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard69.620
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard86.550
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard65.350
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard61.590
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard79.790
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard58.450
