Instructions to use fwizzer1/Fwizzer-R1-3B-RU-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use fwizzer1/Fwizzer-R1-3B-RU-v2 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 fwizzer1/Fwizzer-R1-3B-RU-v2
# Run inference directly in the terminal:
llama cli -hf fwizzer1/Fwizzer-R1-3B-RU-v2

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf fwizzer1/Fwizzer-R1-3B-RU-v2
# Run inference directly in the terminal:
llama cli -hf fwizzer1/Fwizzer-R1-3B-RU-v2

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 fwizzer1/Fwizzer-R1-3B-RU-v2
# Run inference directly in the terminal:
./llama-cli -hf fwizzer1/Fwizzer-R1-3B-RU-v2

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 fwizzer1/Fwizzer-R1-3B-RU-v2
# Run inference directly in the terminal:
./build/bin/llama-cli -hf fwizzer1/Fwizzer-R1-3B-RU-v2

Use Docker

docker model run hf.co/fwizzer1/Fwizzer-R1-3B-RU-v2

LM Studio
Jan

vLLM

How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "fwizzer1/Fwizzer-R1-3B-RU-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fwizzer1/Fwizzer-R1-3B-RU-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/fwizzer1/Fwizzer-R1-3B-RU-v2

Ollama
How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with Ollama:
```
ollama run hf.co/fwizzer1/Fwizzer-R1-3B-RU-v2
```
Unsloth Desktop

How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf fwizzer1/Fwizzer-R1-3B-RU-v2

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "fwizzer1/Fwizzer-R1-3B-RU-v2"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with Docker Model Runner:
```
docker model run hf.co/fwizzer1/Fwizzer-R1-3B-RU-v2
```

Lemonade

How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull fwizzer1/Fwizzer-R1-3B-RU-v2

Run and chat with the model

lemonade run user.Fwizzer-R1-3B-RU-v2-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf fwizzer1/Fwizzer-R1-3B-RU-v2

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 fwizzer1/Fwizzer-R1-3B-RU-v2

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use fwizzer1/Fwizzer-R1-3B-RU-v2 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf fwizzer1/Fwizzer-R1-3B-RU-v2

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "fwizzer1/Fwizzer-R1-3B-RU-v2" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

fwizzer1 commited on 28 days ago

Commit

fffbc07

verified ·

1 Parent(s): 2af0861

Copy files from models/fwizzer1/Fwizzer-R1-3B-ZH-v2

Browse files

Files changed (1) hide show

zh/config.json +70 -0

zh/config.json ADDED Viewed

	@@ -0,0 +1,70 @@

+{
+    "architectures": [
+        "Mistral3ForConditionalGeneration"
+    ],
+    "bos_token_id": 1,
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 2,
+    "image_token_index": 10,
+    "model_type": "mistral3",
+    "multimodal_projector_bias": false,
+    "pad_token_id": 11,
+    "projector_hidden_act": "gelu",
+    "spatial_merge_size": 2,
+    "text_config": {
+        "attention_dropout": 0.0,
+        "bos_token_id": 1,
+        "torch_dtype": "bfloat16",
+        "eos_token_id": 2,
+        "head_dim": 128,
+        "hidden_act": "silu",
+        "hidden_size": 3072,
+        "initializer_range": 0.02,
+        "intermediate_size": 9216,
+        "max_position_embeddings": 262144,
+        "model_type": "ministral3",
+        "num_attention_heads": 32,
+        "num_hidden_layers": 26,
+        "num_key_value_heads": 8,
+        "pad_token_id": 11,
+        "rms_norm_eps": 1e-05,
+        "rope_parameters": {
+            "beta_fast": 32.0,
+            "beta_slow": 1.0,
+            "factor": 16.0,
+            "llama_4_scaling_beta": 0.1,
+            "mscale": 1.0,
+            "mscale_all_dim": 1.0,
+            "original_max_position_embeddings": 16384,
+            "rope_theta": 1000000.0,
+            "rope_type": "yarn",
+            "type": "yarn"
+        },
+        "sliding_window": null,
+        "tie_word_embeddings": true,
+        "use_cache": true,
+        "vocab_size": 131072
+    },
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "vision_config": {
+        "attention_dropout": 0.0,
+        "torch_dtype": "bfloat16",
+        "head_dim": 64,
+        "hidden_act": "silu",
+        "hidden_size": 1024,
+        "image_size": 1540,
+        "initializer_range": 0.02,
+        "intermediate_size": 4096,
+        "model_type": "pixtral",
+        "num_attention_heads": 16,
+        "num_channels": 3,
+        "num_hidden_layers": 24,
+        "patch_size": 14,
+        "rope_parameters": {
+            "rope_theta": 10000.0,
+            "rope_type": "default"
+        }
+    },
+    "vision_feature_layer": -1
+}