Text Generation
Transformers
Safetensors
English
mistral
mergekit
Merge
roleplay
Eval Results (legacy)
text-generation-inference
exl2
Instructions to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_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-3_5bpw_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-3_5bpw_exl2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_exl2") model = AutoModelForCausalLM.from_pretrained("Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_exl2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_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-3_5bpw_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-3_5bpw_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-3_5bpw_exl2
- SGLang
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_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-3_5bpw_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-3_5bpw_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-3_5bpw_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-3_5bpw_exl2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_exl2 with Docker Model Runner:
docker model run hf.co/Zoyd/FallenMerick_Chunky-Lemon-Cookie-11B-3_5bpw_exl2
File size: 840 Bytes
e05065e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | 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 |