Not-For-All-Audiences

Instructions to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4", dtype="auto")

llama-cpp-python

How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4",
	filename="Tifa-Deepsex-14b-CoT-Chat-IQ4_NL.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
# Run inference directly in the terminal:
llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
# Run inference directly in the terminal:
llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL

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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
# Run inference directly in the terminal:
./llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL

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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL

Use Docker

docker model run hf.co/ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL

LM Studio
Jan
Ollama
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Ollama:
```
ollama run hf.co/ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
```

Unsloth Studio

How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 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 ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 to start chatting

Atomic Chat new
Docker Model Runner
How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Docker Model Runner:
```
docker model run hf.co/ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL
```

Lemonade

How to use ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ValueFX9507/Tifa-Deepsex-14b-CoT-GGUF-Q4:IQ4_NL

Run and chat with the model

lemonade run user.Tifa-Deepsex-14b-CoT-GGUF-Q4-IQ4_NL

List all available models

lemonade list

New discussion

Resources

View closed (8)

Delete Tifa-Deepsex-14b-CoT-Q4_K_M.gguf

#37 opened over 1 year ago by

shiqja

官网的大号Tifa模型实际上是Claude API，您为何要谎称您有大模型？

#35 opened over 1 year ago by deleted

How do I download it?

#33 opened over 1 year ago by

ramsey231rrr

请问本地部署要求是什么？8G显存可行吗

#31 opened over 1 year ago by

xyFredi

Prompt for the bot

#30 opened over 1 year ago by

Immo174

大佬用什么设备训练的，3090能自己微调吗？

#29 opened over 1 year ago by

ycye

good

#28 opened over 1 year ago by

woodnoah

Can not Ollama pull the full files

👍 1

#27 opened over 1 year ago by

chancenju

7B-GGUF-Q4 V2版是13号还是14号出？感觉等不及了，有没有合适的LM STUDIO设置？

#26 opened over 1 year ago by

RavenRock

Is there a way to disable the <thinking> feature?

#25 opened over 1 year ago by

Kuromasa

Create c

#24 opened over 1 year ago by

sashamatveevsashamatveev

[Issue] Mac 下运行 Chat 模型遇到严重问题

➕ 4

#23 opened over 1 year ago by

AndyZhang32767

7b model params

#22 opened over 1 year ago by

TimohaS

How to launch this?

#21 opened over 1 year ago by

Andrei321123

BRO API KEY CHAIYE

#20 opened over 1 year ago by

brahamaandai

Add tag "not-for-all-audiences" (NSFW)

#19 opened over 1 year ago by

adamm-hf

COULD YOU PLEASE PROVIDE A WAY TO WRITE ENTIRE BOOK OF 50 60 PAGES WITH THIS.

#16 opened over 1 year ago by

parthwagh

Tifa_220B？这是啥？

#15 opened over 1 year ago by

Zambolin

Chat 和 Crazy 模型使用 Ollama 命令下载时无法区分Tag

#14 opened over 1 year ago by

jie65535

关于discussions中提到问题以及最佳实践的思考及可能解决方案

#13 opened over 1 year ago by

I-am-CJC

缺少常识, 生成的文字非常混乱, 是各种器官名字的堆砌. 而且不能遵守prompt,这是致命问题.

#12 opened over 1 year ago by

Moodym

如果使用web端有啥好的开源项目推荐？不是说要设置单独的提示词么？

#11 opened over 1 year ago by

ideacco

请问demo里的自定义API该如何设置

#9 opened over 1 year ago by

akande1

[Issue]生成文字时<think>缺失

#8 opened over 1 year ago by

AndyZhang32767

是不是uncensored

#7 opened over 1 year ago by

bimmie

About RL

#6 opened over 1 year ago by

Rhythmblue

System Prompt設置

#4 opened over 1 year ago by

HideonSofa

通过ollama加载后，用这里提供的demo自定义api返回出错

#3 opened over 1 year ago by

cscvscsg

如果使用在酒馆，需要怎样的preset?

#2 opened over 1 year ago by

Mr9KL