Instructions to use AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored",
	filename="mistral-small-24b-instruct-2501.Q4_0.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 AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored 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 AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0
# Run inference directly in the terminal:
llama cli -hf AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0
# Run inference directly in the terminal:
llama cli -hf AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0

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 AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0

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 AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0

Use Docker

docker model run hf.co/AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0

LM Studio
Jan
Ollama
How to use AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored with Ollama:
```
ollama run hf.co/AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0
```

Unsloth Studio

How to use AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored 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 AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored 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 AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored to start chatting

Atomic Chat new
Docker Model Runner
How to use AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored with Docker Model Runner:
```
docker model run hf.co/AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0
```

Lemonade

How to use AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AlSamCur123/Mistral-Small-24B-Instruct-2501-Uncensored:Q4_0

Run and chat with the model

lemonade run user.Mistral-Small-24B-Instruct-2501-Uncensored-Q4_0

List all available models

lemonade list

Mistral-Small-24B-Instruct-2501-Uncensored / Modelfile

AlSamCur123

Trained with Unsloth - Ollama Modelfile

dc654a8 verified 4 months ago

Raw

History Blame Contribute Delete

1.44 kB


	FROM mistral-small-24b-instruct-2501.Q4_0.gguf
	TEMPLATE """{{- range $index, $_ := .Messages }}
	{{- if eq .Role "system" }}[SYSTEM_PROMPT]{{ .Content }}[/SYSTEM_PROMPT]
	{{- else if eq .Role "user" }}
	{{- if and (le (len (slice $.Messages $index)) 2) $.Tools }}[AVAILABLE_TOOLS]{{ $.Tools }}[/AVAILABLE_TOOLS]
	{{- end }}[INST]{{ .Content }}[/INST]
	{{- else if eq .Role "assistant" }}
	{{- if .Content }}{{ .Content }}
	{{- if not (eq (len (slice $.Messages $index)) 1) }}</s>
	{{- end }}
	{{- else if .ToolCalls }}[TOOL_CALLS][
	{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}}
	{{- end }}]</s>
	{{- end }}
	{{- else if eq .Role "tool" }}[TOOL_RESULTS]{"content": {{ .Content }}}[/TOOL_RESULTS]
	{{- end }}
	{{- end }}"""
	PARAMETER temperature 0.15
	SYSTEM """You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris. Your knowledge base was last updated on 2023-10-01. When you're not sure about some information, you say that you don't have the information and don't make up anything. If the user's question is not clear, ambiguous, or does not provide enough context for you to accurately answer the question, you do not try to answer it right away and you rather ask the user to clarify their request (e.g. "What are some good restaurants around me?" => "Where are you?" or "When is the next flight to Tokyo" => "Where do you travel from?")"""