Text Generation
Transformers
Safetensors
English
mistral
mergekit
Merge
roleplay
conversational
text-generation-inference
Instructions to use FallenMerick/Iced-Lemon-Cookie-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FallenMerick/Iced-Lemon-Cookie-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FallenMerick/Iced-Lemon-Cookie-7B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FallenMerick/Iced-Lemon-Cookie-7B") model = AutoModelForCausalLM.from_pretrained("FallenMerick/Iced-Lemon-Cookie-7B", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FallenMerick/Iced-Lemon-Cookie-7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FallenMerick/Iced-Lemon-Cookie-7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FallenMerick/Iced-Lemon-Cookie-7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FallenMerick/Iced-Lemon-Cookie-7B
- SGLang
How to use FallenMerick/Iced-Lemon-Cookie-7B 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 "FallenMerick/Iced-Lemon-Cookie-7B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FallenMerick/Iced-Lemon-Cookie-7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "FallenMerick/Iced-Lemon-Cookie-7B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FallenMerick/Iced-Lemon-Cookie-7B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FallenMerick/Iced-Lemon-Cookie-7B with Docker Model Runner:
docker model run hf.co/FallenMerick/Iced-Lemon-Cookie-7B
|
Download README.md from FallenMerick/Iced-Lemon-Cookie-7B: direct link, hf CLI and curl.
- Browser
- Download file 1.68 kB
-
https://huggingface.co/FallenMerick/Iced-Lemon-Cookie-7B/resolve/main/README.md
- Command line
-
hf download hf://FallenMerick/Iced-Lemon-Cookie-7B/README.md
-
curl -L -o README.md https://huggingface.co/FallenMerick/Iced-Lemon-Cookie-7B/resolve/main/README.md
1.68 kB
metadata
license: cc-by-4.0
language:
- en
base_model:
- Undi95/BigL-7B
- saishf/Multi-Verse-RP-7B
- KatyTheCutie/LemonadeRP-4.5.3
- icefog72/IceLemonTeaRP-32k-7b
- SanjiWatsuki/Kunoichi-DPO-v2-7B
library_name: transformers
tags:
- mergekit
- merge
- mistral
- text-generation
- roleplay
Iced Lemon Cookie
This is a merge of pre-trained language models created using mergekit.
GGUF quants: https://huggingface.co/FaradayDotDev/Iced-Lemon-Cookie-7B-GGUF
Merge Details
Merge Method
This model was merged using the TIES merge method using saishf/Multi-Verse-RP-7B as a base.
Models Merged
The following models were included in the merge:
- Undi95/BigL-7B
- KatyTheCutie/LemonadeRP-4.5.3
- icefog72/IceLemonTeaRP-32k-7b
- SanjiWatsuki/Kunoichi-DPO-v2-7B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: icefog72/IceLemonTeaRP-32k-7b
parameters:
density: 1.0
weight: 1.0
- model: Undi95/BigL-7B
parameters:
density: 0.4
weight: 1.0
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
parameters:
density: 0.6
weight: 1.0
- model: KatyTheCutie/LemonadeRP-4.5.3
parameters:
density: 0.8
weight: 1.0
merge_method: ties
base_model: saishf/Multi-Verse-RP-7B
parameters:
normalize: true
dtype: float16