Instructions to use mlx-community/gemma-4-e4b-it-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-4-e4b-it-nvfp4 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/gemma-4-e4b-it-nvfp4") config = load_config("mlx-community/gemma-4-e4b-it-nvfp4") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use mlx-community/gemma-4-e4b-it-nvfp4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-e4b-it-nvfp4"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mlx-community/gemma-4-e4b-it-nvfp4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use mlx-community/gemma-4-e4b-it-nvfp4 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-e4b-it-nvfp4"
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 mlx-community/gemma-4-e4b-it-nvfp4
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use mlx-community/gemma-4-e4b-it-nvfp4 with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/gemma-4-e4b-it-nvfp4"
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 "mlx-community/gemma-4-e4b-it-nvfp4" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Re-upload MLX conversion from google/gemma-4-E4B-it@fee6332c1abaafb77f6f9624236c63aa2f1d0187
Browse files- README.md +12 -12
- config.json +20 -1010
- model.safetensors +3 -0
- model.safetensors.index.json +0 -0
- processor_config.json +21 -0
- tokenizer_config.json +42 -20
README.md
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---
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library_name: mlx
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license:
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pipeline_tag: any-to-any
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tags:
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- mlx
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---
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# mlx-community/gemma-4-e4b-it-nvfp4
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using mlx-vlm version **0.4.3**.
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Refer to the [original model card](https://huggingface.co/google/gemma-4-e4b-it) for more details on the model.
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pip install -U mlx-vlm
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```
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```bash
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```
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---
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library_name: mlx
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license: gemma
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base_model: google/gemma-4-E4B-it
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tags:
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- mlx
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- mlx-vlm
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- gemma4
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- image-text-to-text
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---
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# mlx-community/gemma-4-e4b-it-nvfp4
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MLX conversion of [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it) for Apple silicon.
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- Source revision: `fee6332c1abaafb77f6f9624236c63aa2f1d0187`
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- Variant: `nvfp4`
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- Converted with `mlx_vlm.convert` from the local `mlx-vlm` checkout.
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## Usage
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```bash
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pip install mlx-vlm
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python -m mlx_vlm.generate --model mlx-community/gemma-4-e4b-it-nvfp4 --prompt "Describe this image." --image path/to/image.jpg
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```
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config.json
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"audio_token_id": 258881,
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"boa_token_id": 256000,
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"boi_token_id": 255999,
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"dtype": "bfloat16",
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"eoa_token_id": 258883,
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"eoa_token_index": 258883,
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"image_token_id": 258880,
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"initializer_range": 0.02,
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"model_type": "gemma4",
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"quantization": {
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"group_size": 16,
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"bits": 4,
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"mode": "nvfp4"
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},
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"text_config": {
|
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"attention_bias": false,
|
| 1080 |
"attention_dropout": 0.0,
|
|
@@ -1167,6 +175,8 @@
|
|
| 1167 |
"vocab_size_per_layer_input": 262144
|
| 1168 |
},
|
| 1169 |
"tie_word_embeddings": true,
|
|
|
|
|
|
|
| 1170 |
"transformers_version": "5.5.0.dev0",
|
| 1171 |
"video_token_id": 258884,
|
| 1172 |
"vision_config": {
|
|
|
|
| 45 |
"audio_token_id": 258881,
|
| 46 |
"boa_token_id": 256000,
|
| 47 |
"boi_token_id": 255999,
|
| 48 |
+
"do_sample": true,
|
| 49 |
"dtype": "bfloat16",
|
| 50 |
"eoa_token_id": 258883,
|
| 51 |
"eoa_token_index": 258883,
|
|
|
|
| 55 |
106,
|
| 56 |
50
|
| 57 |
],
|
| 58 |
+
"generation_config": {
|
| 59 |
+
"bos_token_id": 2,
|
| 60 |
+
"do_sample": true,
|
| 61 |
+
"eos_token_id": [
|
| 62 |
+
1,
|
| 63 |
+
106,
|
| 64 |
+
50
|
| 65 |
+
],
|
| 66 |
+
"pad_token_id": 0,
|
| 67 |
+
"temperature": 1.0,
|
| 68 |
+
"top_k": 64,
|
| 69 |
+
"top_p": 0.95,
|
| 70 |
+
"transformers_version": "5.5.0.dev0"
|
| 71 |
+
},
|
| 72 |
"image_token_id": 258880,
|
| 73 |
"initializer_range": 0.02,
|
| 74 |
"model_type": "gemma4",
|
| 75 |
"quantization": {
|
| 76 |
"group_size": 16,
|
| 77 |
"bits": 4,
|
| 78 |
+
"mode": "nvfp4"
|
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|
| 79 |
},
|
| 80 |
"quantization_config": {
|
| 81 |
"group_size": 16,
|
| 82 |
"bits": 4,
|
| 83 |
+
"mode": "nvfp4"
|
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|
| 84 |
},
|
| 85 |
+
"temperature": 1.0,
|
| 86 |
"text_config": {
|
| 87 |
"attention_bias": false,
|
| 88 |
"attention_dropout": 0.0,
|
|
|
|
| 175 |
"vocab_size_per_layer_input": 262144
|
| 176 |
},
|
| 177 |
"tie_word_embeddings": true,
|
| 178 |
+
"top_k": 64,
|
| 179 |
+
"top_p": 0.95,
|
| 180 |
"transformers_version": "5.5.0.dev0",
|
| 181 |
"video_token_id": 258884,
|
| 182 |
"vision_config": {
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:42361d0a7d1af5c9cf6f42c2a46be0f39fa4e060cedf0dfc43b0b4d97e413c9e
|
| 3 |
+
size 5146755012
|
model.safetensors.index.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
processor_config.json
CHANGED
|
@@ -29,6 +29,27 @@
|
|
| 29 |
},
|
| 30 |
"image_seq_length": 280,
|
| 31 |
"processor_class": "Gemma4Processor",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
"feature_extractor": {
|
| 33 |
"feature_extractor_type": "Gemma4AudioFeatureExtractor",
|
| 34 |
"sampling_rate": 16000,
|
|
|
|
| 29 |
},
|
| 30 |
"image_seq_length": 280,
|
| 31 |
"processor_class": "Gemma4Processor",
|
| 32 |
+
"video_processor": {
|
| 33 |
+
"default_fps": 2.0,
|
| 34 |
+
"do_normalize": true,
|
| 35 |
+
"do_rescale": true,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.0,
|
| 38 |
+
0.0,
|
| 39 |
+
0.0
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
1.0,
|
| 43 |
+
1.0,
|
| 44 |
+
1.0
|
| 45 |
+
],
|
| 46 |
+
"max_soft_tokens": 70,
|
| 47 |
+
"num_frames": 32,
|
| 48 |
+
"patch_size": 16,
|
| 49 |
+
"pooling_kernel_size": 3,
|
| 50 |
+
"rescale_factor": 0.00392156862745098,
|
| 51 |
+
"video_processor_type": "Gemma4VideoProcessor"
|
| 52 |
+
},
|
| 53 |
"feature_extractor": {
|
| 54 |
"feature_extractor_type": "Gemma4AudioFeatureExtractor",
|
| 55 |
"sampling_rate": 16000,
|
tokenizer_config.json
CHANGED
|
@@ -17,50 +17,72 @@
|
|
| 17 |
"<|video|>"
|
| 18 |
],
|
| 19 |
"image_token": "<|image|>",
|
|
|
|
|
|
|
| 20 |
"mask_token": "<mask>",
|
| 21 |
"model_max_length": 1000000000000000019884624838656,
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
"pad_token": "<pad>",
|
| 23 |
"padding_side": "left",
|
| 24 |
"processor_class": "Gemma4Processor",
|
| 25 |
"response_schema": {
|
| 26 |
-
"type": "object",
|
| 27 |
"properties": {
|
|
|
|
|
|
|
|
|
|
| 28 |
"role": {
|
| 29 |
"const": "assistant"
|
| 30 |
},
|
| 31 |
"thinking": {
|
| 32 |
"type": "string"
|
| 33 |
},
|
| 34 |
-
"content": {
|
| 35 |
-
"type": "string"
|
| 36 |
-
},
|
| 37 |
"tool_calls": {
|
| 38 |
-
"x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>",
|
| 39 |
-
"type": "array",
|
| 40 |
"items": {
|
| 41 |
-
"type": "object",
|
| 42 |
"properties": {
|
| 43 |
-
"type": {
|
| 44 |
-
"const": "function"
|
| 45 |
-
},
|
| 46 |
"function": {
|
| 47 |
-
"type": "object",
|
| 48 |
-
"x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})",
|
| 49 |
"properties": {
|
| 50 |
-
"name": {
|
| 51 |
-
"type": "string"
|
| 52 |
-
},
|
| 53 |
"arguments": {
|
|
|
|
| 54 |
"type": "object",
|
| 55 |
-
"x-parser": "gemma4-tool-call"
|
| 56 |
-
|
|
|
|
|
|
|
| 57 |
}
|
| 58 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
}
|
| 60 |
-
}
|
| 61 |
-
|
|
|
|
|
|
|
|
|
|
| 62 |
}
|
| 63 |
},
|
|
|
|
| 64 |
"x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
|
| 65 |
},
|
| 66 |
"soc_token": "<|channel>",
|
|
|
|
| 17 |
"<|video|>"
|
| 18 |
],
|
| 19 |
"image_token": "<|image|>",
|
| 20 |
+
"is_local": true,
|
| 21 |
+
"local_files_only": true,
|
| 22 |
"mask_token": "<mask>",
|
| 23 |
"model_max_length": 1000000000000000019884624838656,
|
| 24 |
+
"model_specific_special_tokens": {
|
| 25 |
+
"audio_token": "<|audio|>",
|
| 26 |
+
"boa_token": "<|audio>",
|
| 27 |
+
"boi_token": "<|image>",
|
| 28 |
+
"eoa_token": "<audio|>",
|
| 29 |
+
"eoc_token": "<channel|>",
|
| 30 |
+
"eoi_token": "<image|>",
|
| 31 |
+
"eot_token": "<turn|>",
|
| 32 |
+
"escape_token": "<|\"|>",
|
| 33 |
+
"etc_token": "<tool_call|>",
|
| 34 |
+
"etd_token": "<tool|>",
|
| 35 |
+
"etr_token": "<tool_response|>",
|
| 36 |
+
"image_token": "<|image|>",
|
| 37 |
+
"soc_token": "<|channel>",
|
| 38 |
+
"sot_token": "<|turn>",
|
| 39 |
+
"stc_token": "<|tool_call>",
|
| 40 |
+
"std_token": "<|tool>",
|
| 41 |
+
"str_token": "<|tool_response>",
|
| 42 |
+
"think_token": "<|think|>"
|
| 43 |
+
},
|
| 44 |
"pad_token": "<pad>",
|
| 45 |
"padding_side": "left",
|
| 46 |
"processor_class": "Gemma4Processor",
|
| 47 |
"response_schema": {
|
|
|
|
| 48 |
"properties": {
|
| 49 |
+
"content": {
|
| 50 |
+
"type": "string"
|
| 51 |
+
},
|
| 52 |
"role": {
|
| 53 |
"const": "assistant"
|
| 54 |
},
|
| 55 |
"thinking": {
|
| 56 |
"type": "string"
|
| 57 |
},
|
|
|
|
|
|
|
|
|
|
| 58 |
"tool_calls": {
|
|
|
|
|
|
|
| 59 |
"items": {
|
|
|
|
| 60 |
"properties": {
|
|
|
|
|
|
|
|
|
|
| 61 |
"function": {
|
|
|
|
|
|
|
| 62 |
"properties": {
|
|
|
|
|
|
|
|
|
|
| 63 |
"arguments": {
|
| 64 |
+
"additionalProperties": {},
|
| 65 |
"type": "object",
|
| 66 |
+
"x-parser": "gemma4-tool-call"
|
| 67 |
+
},
|
| 68 |
+
"name": {
|
| 69 |
+
"type": "string"
|
| 70 |
}
|
| 71 |
+
},
|
| 72 |
+
"type": "object",
|
| 73 |
+
"x-regex": "call\\:(?P<name>\\w+)(?P<arguments>\\{.*\\})"
|
| 74 |
+
},
|
| 75 |
+
"type": {
|
| 76 |
+
"const": "function"
|
| 77 |
}
|
| 78 |
+
},
|
| 79 |
+
"type": "object"
|
| 80 |
+
},
|
| 81 |
+
"type": "array",
|
| 82 |
+
"x-regex-iterator": "<\\|tool_call>(.*?)<tool_call\\|>"
|
| 83 |
}
|
| 84 |
},
|
| 85 |
+
"type": "object",
|
| 86 |
"x-regex": "(\\<\\|channel\\>thought\\n(?P<thinking>.*?)\\<channel\\|\\>)?(?P<tool_calls>\\<\\|tool_call\\>.*\\<tool_call\\|\\>)?(?P<content>(?:(?!\\<turn\\|\\>)(?!\\<\\|tool_response\\>).)+)?(?:\\<turn\\|\\>|\\<\\|tool_response\\>)?"
|
| 87 |
},
|
| 88 |
"soc_token": "<|channel>",
|