Instructions to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M

Use Docker

docker model run hf.co/Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M

LM Studio
Jan
Ollama
How to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with Ollama:
```
ollama run hf.co/Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M
```

Unsloth Studio

How to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix to start chatting

Docker Model Runner
How to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with Docker Model Runner:
```
docker model run hf.co/Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M
```

Lemonade

How to use Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Lewdiculous/Kool-Aid_7B-GGUF-IQ-Imatrix:Q4_K_M

Run and chat with the model

lemonade run user.Kool-Aid_7B-GGUF-IQ-Imatrix-Q4_K_M

List all available models

lemonade list

Atomic Chat

Lewdiculous commited on Mar 15, 2024

Commit

f897043

verified ·

1 Parent(s): f5cf7bc

Update README.md

Browse files

Files changed (1) hide show

README.md +13 -6

README.md CHANGED Viewed

@@ -35,15 +35,22 @@ Base⇢ GGUF(F16)⇢ Imatrix-Data(F16)⇢ GGUF(Imatrix-Quants)
 ---
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/im1tX0e_w19J0J0ZrBZhx.jpeg)
 This model was merged using the SLERP merge method.
 ### Models Merged
 The following models were included in the merge:
-* [Nitral-AI/Prima-LelantaclesV6.69-7b](https://huggingface.co/Nitral-AI/Prima-LelantaclesV6.69-7b)
-* [Nitral-AI/Prima-LelantaclesV6.31-7b](https://huggingface.co/Nitral-AI/Prima-LelantaclesV6.31-7b)
 ### Configuration
@@ -52,12 +59,12 @@ The following YAML configuration was used to produce this model:
 ```yaml
 slices:
   - sources:
-      - model: Nitral-AI/Prima-LelantaclesV6.69-7b
         layer_range: [0, 32]
-      - model: Nitral-AI/Prima-LelantaclesV6.31-7b
         layer_range: [0, 32]
 merge_method: slerp
-base_model: Nitral-AI/Prima-LelantaclesV6.69-7b
 parameters:
   t:
     - filter: self_attn

 ---
+# Kool-Aid
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/Bpz3HVIKPaEn_Sz6OD86Z.jpeg)
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+## Merge Details
+### Merge Method
 This model was merged using the SLERP merge method.
 ### Models Merged
 The following models were included in the merge:
+* ErosEris
+* CookieNexus
 ### Configuration
 ```yaml
 slices:
   - sources:
+      - model: CookieNexus
         layer_range: [0, 32]
+      - model: ErosEris
         layer_range: [0, 32]
 merge_method: slerp
+base_model: CookieNexus
 parameters:
   t:
     - filter: self_attn