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

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

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

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

Use Docker

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

LM Studio
Jan

vLLM

How to use fwizzer1/Fwizzer-R1-3B-RU 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"
# 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",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

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

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

Lemonade

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

Pull the model

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

Run and chat with the model

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

List all available models

lemonade list

Atomic Chat

fwizzer1 commited on about 1 month ago

Commit

b81cee7

verified ·

1 Parent(s): 303e507

Enable native reasoning and thinking capability flags in config.json

Browse files

Files changed (1) hide show

config.json +68 -62

config.json CHANGED Viewed

@@ -1,70 +1,76 @@
 {
-    "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
 }

 {
+  "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,
+  "reasoning": true,
+  "reasoning_format": "deepseek",
+  "capabilities": {
+    "reasoning": true,
+    "thinking": true
+  }
 }