Instructions to use AlSamCur123/Mistral-Small-Instruct-2409 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlSamCur123/Mistral-Small-Instruct-2409 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AlSamCur123/Mistral-Small-Instruct-2409",
	filename="mistral-small-instruct-2409.Q4_0.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use AlSamCur123/Mistral-Small-Instruct-2409 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AlSamCur123/Mistral-Small-Instruct-2409: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 AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AlSamCur123/Mistral-Small-Instruct-2409: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 AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

Use Docker

docker model run hf.co/AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

LM Studio
Jan
Ollama
How to use AlSamCur123/Mistral-Small-Instruct-2409 with Ollama:
```
ollama run hf.co/AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M
```

Unsloth Studio new

How to use AlSamCur123/Mistral-Small-Instruct-2409 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-Instruct-2409 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-Instruct-2409 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-Instruct-2409 to start chatting

Pi new

How to use AlSamCur123/Mistral-Small-Instruct-2409 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AlSamCur123/Mistral-Small-Instruct-2409 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use AlSamCur123/Mistral-Small-Instruct-2409 with Docker Model Runner:
```
docker model run hf.co/AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M
```

Lemonade

How to use AlSamCur123/Mistral-Small-Instruct-2409 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AlSamCur123/Mistral-Small-Instruct-2409:Q4_K_M

Run and chat with the model

lemonade run user.Mistral-Small-Instruct-2409-Q4_K_M

List all available models

lemonade list

AlSamCur123 commited on Apr 6

Commit

71fd345

verified ·

1 Parent(s): 6e2b5a8

Trained with Unsloth - Ollama Modelfile

Browse files

Files changed (1) hide show

Modelfile +20 -0

Modelfile ADDED Viewed

	@@ -0,0 +1,20 @@

+FROM mistral-small-instruct-2409.Q8_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?")"""