Instructions to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF",
	filename="shanchen-llama3-8B-slerp-biomed-chat-chinese-IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-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 featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-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 featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M

Use Docker

docker model run hf.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M

Ollama
How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with Ollama:
```
ollama run hf.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M
```

Unsloth Studio

How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF 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 featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF 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 featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with Docker Model Runner:
```
docker model run hf.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M
```

Lemonade

How to use featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF-Q4_K_M

List all available models

lemonade list

m8than commited on Oct 30, 2024

Commit

3ac9b5e

verified ·

1 Parent(s): aa24844

Upload folder using huggingface_hub

Browse files

Files changed (14) hide show

.gitattributes +12 -0
README.md +46 -0
featherless-quants.png +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-IQ4_XS.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q2_K.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_L.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_M.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_S.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_M.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_S.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_M.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_S.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q6_K.gguf +3 -0
shanchen-llama3-8B-slerp-biomed-chat-chinese-Q8_0.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+featherless-quants.png filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+shanchen-llama3-8B-slerp-biomed-chat-chinese-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,46 @@

+---
+base_model: shanchen/llama3-8B-slerp-biomed-chat-chinese
+pipeline_tag: text-generation
+quantized_by: featherless-ai-quants
+---
+# shanchen/llama3-8B-slerp-biomed-chat-chinese GGUF Quantizations 🚀
+![Featherless AI Quants](./featherless-quants.png)
+*Optimized GGUF quantization files for enhanced model performance*
+---
+## Available Quantizations 📊
+| Quantization Type | File | Size |
+|-------------------|------|------|
+| Q8_0 | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q8_0.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q8_0.gguf) | 8145.11 MB |
+| Q4_K_S | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_S.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_S.gguf) | 4475.28 MB |
+| Q2_K | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q2_K.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q2_K.gguf) | 3031.86 MB |
+| Q6_K | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q6_K.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q6_K.gguf) | 6290.44 MB |
+| Q3_K_M | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_M.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_M.gguf) | 3832.74 MB |
+| Q3_K_S | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_S.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_S.gguf) | 3494.74 MB |
+| Q3_K_L | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_L.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_L.gguf) | 4121.74 MB |
+| Q4_K_M | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_M.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_M.gguf) | 4692.78 MB |
+| Q5_K_S | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_S.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_S.gguf) | 5339.90 MB |
+| Q5_K_M | [shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_M.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_M.gguf) | 5467.40 MB |
+| IQ4_XS | [shanchen-llama3-8B-slerp-biomed-chat-chinese-IQ4_XS.gguf](https://huggingface.co/featherless-ai-quants/shanchen-llama3-8B-slerp-biomed-chat-chinese-GGUF/blob/main/shanchen-llama3-8B-slerp-biomed-chat-chinese-IQ4_XS.gguf) | 4276.62 MB |
+---
+## ⚡ Powered by [Featherless AI](https://featherless.ai)
+### Key Features
+- 🔥 **Instant Hosting** - Deploy any Llama model on HuggingFace instantly
+- 🛠️ **Zero Infrastructure** - No server setup or maintenance required
+- 📚 **Vast Compatibility** - Support for 2400+ models and counting
+- 💎 **Affordable Pricing** - Starting at just $10/month
+---
+**Links:**
+[Get Started](https://featherless.ai) | [Documentation](https://featherless.ai/docs) | [Models](https://featherless.ai/models)

featherless-quants.png ADDED Viewed

Git LFS Details

SHA256: 2e1b4d66c8306c7b0614089381fdf86ea4efb02dffb78d22767a084cb8b88d6b
Pointer size: 132 Bytes
Size of remote file: 1.61 MB

shanchen-llama3-8B-slerp-biomed-chat-chinese-IQ4_XS.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:85ec9e7dbb947c35e0cf9058e6a65c5a2a7666e64950af6bcee4636330da96e3
+size 4484364000

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q2_K.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:0a80cb32d8584ad72d40e31d022b095554a4369a637185218ba8cbab64904134
+size 3179132640

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_L.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2ce7696b455f64afcb0a772f0e3ad314b8de9ec900648acd4df01a7f405961bb
+size 4321957600

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:fbb43f1798d426ef15c9526824ab35bbb2baa2db098b1dbb2faee2a1dc073866
+size 4018919136

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q3_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1b7c4dadf493ea74f9462629a472e324c2a5b80506a426033a8845f14e5f177e
+size 3664500448

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:88022d5cedcf1851524667bbb94293ca0459d92fc99bddd63f9c35be523b407c
+size 4920735456

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q4_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a1270793f351174d4178b8d24c3a370011de112e63d18b1552e530b7b99b8e5d
+size 4692670176

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a2e0e771ec4df35aa144c50322056b6e9deed4a1dcfe82a4ece60879825eaebd
+size 5732988640

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q5_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7ca401622471099e282cdcac62951c96e7069a2e83119c0b45ae416a579b0c70
+size 5599295200

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q6_K.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3cb5cd5f9c3b90f688a70d01d9c5f859a8ca656aed316782ab127e3b41210560
+size 6596007648

shanchen-llama3-8B-slerp-biomed-chat-chinese-Q8_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:3f3ee1917598786794dc2ed73b786ebd55819486203c4612785e5972a924ab01
+size 8540772064