Instructions to use airagrp/Qwen3.8-27B-mlx-nvfp4-M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use airagrp/Qwen3.8-27B-mlx-nvfp4-M 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("airagrp/Qwen3.8-27B-mlx-nvfp4-M")
config = load_config("airagrp/Qwen3.8-27B-mlx-nvfp4-M")

# 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

How to use airagrp/Qwen3.8-27B-mlx-nvfp4-M with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "airagrp/Qwen3.8-27B-mlx-nvfp4-M"

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": "airagrp/Qwen3.8-27B-mlx-nvfp4-M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use airagrp/Qwen3.8-27B-mlx-nvfp4-M 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 "airagrp/Qwen3.8-27B-mlx-nvfp4-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 airagrp/Qwen3.8-27B-mlx-nvfp4-M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use airagrp/Qwen3.8-27B-mlx-nvfp4-M with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "airagrp/Qwen3.8-27B-mlx-nvfp4-M"

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 "airagrp/Qwen3.8-27B-mlx-nvfp4-M" \
  --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"

airagrp commited on 5 days ago

Commit

d7d9ba5

verified ·

1 Parent(s): a1edaa6

mixed mxfp8/nvfp4/bf16 MLX conversion of Qwen/Qwen3.8-27B (mlx-vlm 0.6.17)

Browse files

Files changed (20) hide show

.gitattributes +1 -0
LICENSE +202 -0
README.md +71 -0
chat_template.jinja +170 -0
config.json +2570 -0
generation_config.json +12 -0
merges.txt +0 -0
model-00001-of-00005.safetensors +3 -0
model-00002-of-00005.safetensors +3 -0
model-00003-of-00005.safetensors +3 -0
model-00004-of-00005.safetensors +3 -0
model-00005-of-00005.safetensors +3 -0
model.safetensors.index.json +0 -0
mtp.safetensors +3 -0
preprocessor_config.json +21 -0
processor_config.json +50 -0
tokenizer.json +3 -0
tokenizer_config.json +33 -0
video_preprocessor_config.json +21 -0
vocab.json +0 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE ADDED Viewed

	@@ -0,0 +1,202 @@

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README.md ADDED Viewed

	@@ -0,0 +1,71 @@

+---
+library_name: mlx
+license: apache-2.0
+pipeline_tag: image-text-to-text
+base_model: Qwen/Qwen3.8-27B
+language: en
+tags:
+  - mlx
+  - mlx-vlm
+  - mxfp8
+  - nvfp4
+  - mixed-precision
+  - qwen3_5
+  - multimodal
+  - vision
+  - video
+  - text-generation
+  - mtp
+  - speculative-decoding
+---
+This repository contains [`Qwen/Qwen3.8-27B`](https://huggingface.co/Qwen/Qwen3.8-27B) converted to MLX format with a mixed-precision quantization recipe, using [mlx-vlm](https://github.com/Blaizzy/mlx-vlm) **0.6.17**.
+## Quantization recipe
+| Module | Precision |
+|---|---|
+| MLP `gate_proj` / `up_proj` / `down_proj` (64 layers) | nvfp4 (group_size=16, bits=4) |
+| Full attention `q_proj` / `k_proj` / `v_proj` / `o_proj` (16 layers) | nvfp4 (group_size=16, bits=4) |
+| Linear (GDN) attention `in_proj_*` / `out_proj` (48 layers) | mxfp8 (group_size=32, bits=8) |
+| Token embeddings (`embed_tokens`) | bfloat16 |
+| Output head (`lm_head`) | bfloat16 |
+| MTP head | bfloat16 |
+| Vision tower | bfloat16 |
+- Effective size: ~23 GB (7.3 bits per weight), base model is ~54 GB in bfloat16.
+- Quantized modules: mxfp8 (group_size=32, bits=8) / nvfp4 (group_size=16, bits=4); bfloat16 modules are stored as-is. Per-module precision is detected from the presence of `.scales` tensors.
+## MTP
+The native MTP head is **merged into this checkpoint** as `language_model.mtp.*` tensors (15 tensors, bfloat16, norms in the MLX +1 convention), stored in `mtp.safetensors` and referenced from `model.safetensors.index.json` — it is not a separate drafter model. Use it for speculative decoding (`--draft-kind mtp` in mlx-vlm) or ignore it; base inference is unaffected.
+## Use with mlx-vlm
+```bash
+pip install mlx-vlm
+```
+```python
+import mlx_vlm
+model, processor = mlx_vlm.load("airagrp/Qwen3.8-27B-mlx-nvfp4-M")
+response, _ = mlx_vlm.generate(
+    model,
+    processor,
+    prompts="In one sentence, what is MLX?",
+    max_tokens=64,
+)
+print(response)
+```
+```bash
+mlx_vlm.generate --model airagrp/Qwen3.8-27B-mlx-nvfp4-M --prompt "In one sentence, what is MLX?" --max-tokens 64
+```
+## Use with MLX directly
+Load with the standard MLX safetensors layout; quantized weights use mxfp8 (group_size=32, bits=8) / nvfp4 (group_size=16, bits=4).
+## Citations / license
+Apache-2.0. Refer to the [original model card](https://huggingface.co/Qwen/Qwen3.8-27B) for architecture details, benchmarks, and usage guidelines.

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,170 @@

+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- set reasoning_instructions = '' %}
+{%- if enable_thinking is undefined or enable_thinking is true %}
+    {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
+    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
+        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
+    {%- endif %}
+    {%- if resolved_reasoning_effort == 'xhigh' %}
+        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
+    {%- elif resolved_reasoning_effort == 'low' %}
+        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
+    {%- endif %}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {%- if reasoning_instructions %}
+        {{- reasoning_instructions + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '')  + content + '<|im_end|>\n' }}
+        {%- elif reasoning_instructions %}
+            {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
+        {%- endif %}
+    {%- elif reasoning_instructions %}
+        {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined and tool_call.arguments != '' %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,2570 @@

+{
+    "architectures": [
+        "Qwen3_5ForConditionalGeneration"
+    ],
+    "do_sample": true,
+    "eos_token_id": [
+        248046,
+        248044
+    ],
+    "generation_config": {
+        "bos_token_id": 248044,
+        "do_sample": true,
+        "eos_token_id": [
+            248046,
+            248044
+        ],
+        "pad_token_id": 248044,
+        "temperature": 1.0,
+        "top_k": 20,
+        "top_p": 0.95
+    },
+    "image_token_id": 248056,
+    "language_model_only": false,
+    "model_type": "qwen3_5",
+    "quantization": {
+        "group_size": 16,
+        "bits": 4,
+        "mode": "nvfp4",
+        "language_model.model.layers.0.linear_attn.in_proj_qkv": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.0.linear_attn.in_proj_z": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.0.linear_attn.in_proj_b": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.0.linear_attn.in_proj_a": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.0.linear_attn.out_proj": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.1.linear_attn.in_proj_qkv": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.1.linear_attn.in_proj_z": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.1.linear_attn.in_proj_b": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.1.linear_attn.in_proj_a": {
+            "group_size": 32,
+            "bits": 8,
+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.1.linear_attn.out_proj": {
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+            "mode": "mxfp8"
+        },
+        "language_model.model.layers.2.linear_attn.in_proj_qkv": {
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+        },
+        "language_model.model.layers.2.linear_attn.in_proj_z": {
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+        },
+        "language_model.model.layers.2.linear_attn.in_proj_b": {
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+        },
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