Instructions to use mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF 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 mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF: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 mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF: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 mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/dolphin-2.9-llama3-8b-256k-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.dolphin-2.9-llama3-8b-256k-i1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on Jul 15, 2025

Commit

ac75349

verified ·

1 Parent(s): df562bd

auto-patch README.md

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@@ -1,9 +1,11 @@
 ---
-base_model: cognitivecomputations/dolphin-2.9-llama3-8b-256k
 language:
 - en
 library_name: transformers
 license: llama3
 quantized_by: mradermacher
 ---
 ## About
@@ -13,9 +15,12 @@ quantized_by: mradermacher
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
-weighted/imatrix quants of https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b-256k
 <!-- provided-files -->
 static quants are available at https://huggingface.co/mradermacher/dolphin-2.9-llama3-8b-256k-GGUF
 ## Usage

 ---
+base_model: dphn/dolphin-2.9-llama3-8b-256k
 language:
 - en
 library_name: transformers
 license: llama3
+mradermacher:
+  readme_rev: 1
 quantized_by: mradermacher
 ---
 ## About
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
+weighted/imatrix quants of https://huggingface.co/dphn/dolphin-2.9-llama3-8b-256k
 <!-- provided-files -->
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#dolphin-2.9-llama3-8b-256k-i1-GGUF).***
 static quants are available at https://huggingface.co/mradermacher/dolphin-2.9-llama3-8b-256k-GGUF
 ## Usage