Instructions to use mlx-community/Qwen3.8-Flash-Next-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/Qwen3.8-Flash-Next-4bit 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/Qwen3.8-Flash-Next-4bit")
config = load_config("mlx-community/Qwen3.8-Flash-Next-4bit")

# 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 mlx-community/Qwen3.8-Flash-Next-4bit 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/Qwen3.8-Flash-Next-4bit"

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/Qwen3.8-Flash-Next-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use mlx-community/Qwen3.8-Flash-Next-4bit 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/Qwen3.8-Flash-Next-4bit"

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/Qwen3.8-Flash-Next-4bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mlx-community/Qwen3.8-Flash-Next-4bit 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/Qwen3.8-Flash-Next-4bit"

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/Qwen3.8-Flash-Next-4bit" \
  --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"

AlazarM commited on Sep 1

Commit

ca42ea6

verified ·

1 Parent(s): 2821a56

Upload folder using huggingface_hub

Browse files

Files changed (34) hide show

.gitattributes +1 -0
README.md +48 -0
chat_template.jinja +170 -0
config.json +2424 -0
generation_config.json +12 -0
model-00001-of-00022.safetensors +3 -0
model-00002-of-00022.safetensors +3 -0
model-00003-of-00022.safetensors +3 -0
model-00004-of-00022.safetensors +3 -0
model-00005-of-00022.safetensors +3 -0
model-00006-of-00022.safetensors +3 -0
model-00007-of-00022.safetensors +3 -0
model-00008-of-00022.safetensors +3 -0
model-00009-of-00022.safetensors +3 -0
model-00010-of-00022.safetensors +3 -0
model-00011-of-00022.safetensors +3 -0
model-00012-of-00022.safetensors +3 -0
model-00013-of-00022.safetensors +3 -0
model-00014-of-00022.safetensors +3 -0
model-00015-of-00022.safetensors +3 -0
model-00016-of-00022.safetensors +3 -0
model-00017-of-00022.safetensors +3 -0
model-00018-of-00022.safetensors +3 -0
model-00019-of-00022.safetensors +3 -0
model-00020-of-00022.safetensors +3 -0
model-00021-of-00022.safetensors +3 -0
model-00022-of-00022.safetensors +3 -0
model.safetensors.index.json +0 -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

README.md ADDED Viewed

	@@ -0,0 +1,48 @@

+---
+language: en
+library_name: mlx
+pipeline_tag: image-text-to-text
+base_model: Qwen/Qwen3.8-Flash-Next
+tags:
+- mlx
+- qwen4_exp
+---
+# Qwen3.8-Flash-Next-4bit (MLX)
+4-bit MLX conversion of [Qwen/Qwen3.8-Flash-Next](https://huggingface.co/Qwen/Qwen3.8-Flash-Next),
+converted with `mlx-vlm` `main` (post-#2032) at commit `d1bd74ed`, group size 32.
+Group size 32 is required so the PLE n-gram embedding dimensions can be quantized.
+## Usage
+```sh
+pip install git+https://github.com/Blaizzy/mlx-vlm
+mlx_vlm.generate --model AlazarM/Qwen3.8-Flash-Next-4bit \
+  --prompt "Explain sparse attention in one paragraph." --max-tokens 256
+```
+## Why this conversion exists
+`Qwen4ExpRMSNorm` applies `1 + w` to norm gains that the released checkpoint stores
+centered at zero, matching upstream `Qwen4ExpTextRMSNorm`. Several MLX conversions
+published before [#2032](https://github.com/Blaizzy/mlx-vlm/pull/2032) landed were made
+with a converter that folded that `+1` into the saved weights, so loading them applies
+the offset twice and generation degenerates into noise
+([#2041](https://github.com/Blaizzy/mlx-vlm/issues/2041)).
+## Verification
+Checked against the bf16 source after conversion:
+| check | result |
+|---|---|
+| source integrity | 131/131 shards, tensor bytes byte-exact vs `index total_size` |
+| norm gain center (source vs converted) | `+0.2216` vs `+0.2216`, delta `+0.00000` |
+| norm tensors bit-identical | 148 / 148 |
+| `sanitize()` idempotence | passes over 480 1-D tensors |
+| generation | coherent output at `--temperature 0.0` |
+A gain center near `+1.15` instead of `+0.22` is the signature of the double-shifted
+conversions described above.

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 +1,2424 @@

+{
+    "architectures": [
+        "Qwen4ExpForConditionalGeneration"
+    ],
+    "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": "qwen4_exp",
+    "quantization": {
+        "group_size": 32,
+        "bits": 4,
+        "mode": "affine",
+        "language_model.model.layers.0.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.0.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.0": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.1": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.2": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.3": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.4": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.5": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.6": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.7": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.8": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.9": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.10": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.11": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.12": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.13": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.14": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.15": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.16": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.17": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.18": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.19": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.20": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.21": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.22": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.23": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.24": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.25": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.26": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.27": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.28": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.29": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.30": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.31": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.32": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.33": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.34": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.35": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.36": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.37": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.38": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.39": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.40": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.41": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.42": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.43": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.44": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.45": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.46": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.47": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.48": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.49": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.50": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.51": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.52": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.53": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.54": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.55": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.56": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.57": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.58": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.59": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.60": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.61": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.62": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.63": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.64": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.65": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.66": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.67": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.68": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.69": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.70": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.71": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.72": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.73": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.74": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.75": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.76": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.77": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.78": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.79": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.80": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.81": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.82": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.83": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.84": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.85": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.86": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.87": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.88": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.89": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.90": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.91": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.92": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.93": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.94": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.95": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.96": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.97": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.98": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.99": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.100": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.101": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.102": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.103": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.104": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.105": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.106": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.107": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.108": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.109": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.110": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.111": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.112": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.113": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.114": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.115": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.116": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.117": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.118": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.119": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.120": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.121": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.122": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.123": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.124": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.125": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.126": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.127": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.2.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.2.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.3.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.3.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.4.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.4.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.5.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.5.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.6.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.6.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.7.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.7.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.8.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.8.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.9.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.9.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.10.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.10.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.11.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.11.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.12.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.12.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.13.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.13.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.14.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.14.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.15.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.15.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.16.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.16.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.17.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.17.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.18.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.18.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.19.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.19.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.20.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.20.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.21.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.21.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.22.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.22.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.23.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.23.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.24.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.24.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.25.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.25.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.26.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.26.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.27.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.27.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.28.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.28.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.29.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.29.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.30.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.30.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.31.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.31.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.32.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.32.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.33.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.33.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.34.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.34.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.35.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.35.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.36.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.36.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.37.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.37.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.38.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.38.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.39.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.39.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.40.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.40.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.41.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.41.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.42.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.42.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.43.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.43.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.44.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.44.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.45.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.45.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.46.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.46.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.47.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.47.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        }
+    },
+    "quantization_config": {
+        "group_size": 32,
+        "bits": 4,
+        "mode": "affine",
+        "language_model.model.layers.0.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.0.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.0": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.1": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.2": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.3": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.4": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.5": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.6": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.7": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.8": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.9": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.10": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.11": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.12": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.13": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.14": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.15": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.16": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.17": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.18": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.19": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.20": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.21": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.22": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.23": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.24": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.25": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.26": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.27": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.28": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.29": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.30": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.31": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.32": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.33": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.34": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.35": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.36": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.37": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.38": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.39": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.40": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.41": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.42": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.43": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.44": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.45": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.46": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.47": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.48": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.49": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.50": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.51": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.52": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.53": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.54": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.55": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.56": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.57": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.58": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.59": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.60": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.61": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.62": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.63": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.64": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.65": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.66": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.67": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.68": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.69": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.70": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.71": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.72": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.73": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.74": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.75": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.76": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.77": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.78": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.79": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.80": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.81": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.82": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.83": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.84": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.85": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.86": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.87": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.88": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.89": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.90": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.91": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.92": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.93": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.94": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.95": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.96": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.97": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.98": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.99": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.100": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.101": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.102": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.103": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.104": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.105": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.106": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.107": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.108": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.109": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.110": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.111": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.112": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.113": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.114": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.115": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.116": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.117": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.118": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.119": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.120": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.121": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.122": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.123": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.124": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.125": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.126": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.1.ple.ple_embedding.ngram_embedding.shards.127": {
+            "group_size": 32,
+            "bits": 4,
+            "mode": "affine"
+        },
+        "language_model.model.layers.2.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.2.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.3.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.3.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.4.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.4.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.5.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.5.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.6.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.6.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.7.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.7.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.8.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.8.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.9.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.9.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.10.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.10.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.11.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.11.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.12.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.12.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.13.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.13.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.14.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.14.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.15.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.15.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.16.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.16.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.17.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.17.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.18.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.18.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.19.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.19.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.20.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.20.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.21.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.21.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.22.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.22.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.23.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.23.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.24.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.24.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.25.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.25.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.26.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.26.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.27.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.27.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.28.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.28.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.29.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.29.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.30.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.30.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.31.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.31.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.32.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.32.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.33.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.33.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.34.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.34.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.35.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.35.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.36.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.36.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.37.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.37.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.38.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.38.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.39.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.39.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.40.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.40.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.41.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.41.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.42.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.42.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.43.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.43.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.44.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.44.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.45.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.45.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.46.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.46.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.47.mlp.gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        },
+        "language_model.model.layers.47.mlp.shared_expert_gate": {
+            "group_size": 64,
+            "bits": 8,
+            "mode": "affine"
+        }
+    },
+    "temperature": 1.0,
+    "text_config": {
+        "attention_bias": false,
+        "attention_dropout": 0.0,
+        "bos_token_id": 248044,
+        "dtype": "bfloat16",
+        "eos_token_id": 248044,
+        "full_attention_interval": 4,
+        "hc_count": 4,
+        "hc_lowrank": 320,
+        "head_dim": 256,
+        "heads_per_ngram": 8,
+        "hidden_act": "silu",
+        "hidden_size": 2560,
+        "indexer_budget": 2048,
+        "indexer_compress_ratio": 4,
+        "indexer_head_dim": 128,
+        "indexer_kv_heads": 1,
+        "indexer_n_heads": 4,
+        "initializer_range": 0.02,
+        "layer_types": [
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention"
+        ],
+        "linear_conv_kernel_dim": 4,
+        "linear_key_head_dim": 128,
+        "linear_num_key_heads": 16,
+        "linear_num_value_heads": 48,
+        "linear_value_head_dim": 128,
+        "make_ngram_vocab_size_divisible_by": 128,
+        "mamba_ssm_dtype": "float32",
+        "max_position_embeddings": 262144,
+        "model_type": "qwen4_exp_text",
+        "moe_intermediate_size": 640,
+        "mtp": {
+            "hybrid": true,
+            "layer_types": [
+                "full_attention"
+            ],
+            "mtp_use_hidden_state_from_layer": null,
+            "num_hidden_layers": 1,
+            "rope_theta": 10000000
+        },
+        "mtp_num_hidden_layers": 1,
+        "mtp_use_dedicated_embeddings": false,
+        "ngram_size": 3,
+        "ngram_vocab_size_base": 20000000,
+        "num_attention_heads": 24,
+        "num_experts": 512,
+        "num_experts_per_tok": 10,
+        "num_hidden_layers": 48,
+        "num_key_value_heads": 2,
+        "output_gate_type": "sigmoid",
+        "output_router_logits": false,
+        "pad_token_id": null,
+        "partial_rotary_factor": 0.25,
+        "ple_conv_kernel_size": 4,
+        "ple_embed_dim": 2560,
+        "ple_layer_ids": [
+            2
+        ],
+        "rms_norm_eps": 1e-06,
+        "rope_parameters": {
+            "mrope_interleaved": true,
+            "mrope_section": [
+                11,
+                11,
+                10
+            ],
+            "partial_rotary_factor": 0.25,
+            "rope_theta": 10000000,
+            "rope_type": "default"
+        },
+        "router_aux_loss_coef": 0.001,
+        "shared_expert_intermediate_size": 640,
+        "split_ngram_parts": 128,
+        "tie_word_embeddings": false,
+        "use_cache": true,
+        "vocab_size": 248320
+    },
+    "tie_word_embeddings": false,
+    "top_k": 20,
+    "top_p": 0.95,
+    "transformers_version": "5.8.0.dev0",
+    "video_token_id": 248057,
+    "vision_config": {
+        "deepstack_visual_indexes": [],
+        "depth": 27,
+        "hidden_act": "gelu_pytorch_tanh",
+        "hidden_size": 1152,
+        "in_channels": 3,
+        "initializer_range": 0.02,
+        "intermediate_size": 4304,
+        "model_type": "qwen4_exp",
+        "num_heads": 16,
+        "num_position_embeddings": 2304,
+        "out_hidden_size": 2560,
+        "patch_size": 16,
+        "spatial_merge_size": 2,
+        "temporal_patch_size": 2
+    },
+    "vision_end_token_id": 248054,
+    "vision_start_token_id": 248053
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,12 @@

+{
+    "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
+}

model-00001-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:879e2028f98cc983b750ed876a005f1ad125e0cb61fb4f49c93695350eefe45c
+size 5280741020

model-00002-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:e4ac7254b17359f728bda19da413278c399b14b5ef849817febc73a223894060
+size 5250035198

model-00003-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:bed34392682d6431b612af18438aa7f43091cfa29f71cd78133211302676544d
+size 5250035225

model-00004-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7dc7d7f0887777814665f9b0674788dced9d7263eb42c12e9f44d4cb823c5cf2
+size 5250035223

model-00005-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:ac100ce27255aba1f11b09f2ee9b35edd108a307f5699a9dafee878668688abd
+size 5250035221

model-00006-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7b330de2e041d8cee9a03b2b58e4e34b22983692f1e702c19caf58d09ad25aa0
+size 5250035245

model-00007-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:51dbb8e92a5be5ad79a8a3ddf7da8f1696a01e093de0045c45e7b67a4d6a355f
+size 5066621630

model-00008-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:eece6ac6c12a46c817f0eb4e334437c80eb8d4106bea7618c7b44c40662d5dfb
+size 5333449292

model-00009-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:b0f449ff11c75bc0fc092ef306c8b6fdfe07b401d93b52b1557302cc1c9a1b15
+size 5333449234

model-00010-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6b9a74feb7a6aaeaac0d886b6dae312bfdc96eae7122f5b6f923cb9a1ed607f2
+size 4966447785

model-00011-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:03bb7d1be20bea990ce2cade373a3725b180a181cbc7f5549d9ba467979c4144
+size 5337575168

model-00012-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:21c581028c4ae75a97cd5dadc37fc578f495c6a8229b5f25d35fd7f32b2efea4
+size 4963058775

model-00013-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:f14e42d49a1421cd4c1b37719771a55a9c979789d9159ebc8f73a901b196df43
+size 5333449335

model-00014-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:c198a9ba1c99f91e54330e34f94ab758c1f2e9f246585f0eedba0f416fd066d1
+size 5333449483

model-00015-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:4991656e138e6c80015e0b4b31acd628c97601522c59f3fe94121e991efa74fa
+size 4966447881

model-00016-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:0f7b724c1ae85e13443e462878208c9924e5baf47cf56670801384ca1e589cc2
+size 5337575126

model-00017-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:55f2f67618487b8eacf8f5e36758281d7d91b5458c260cb8b6665004dbf5ec69
+size 4963058693

model-00018-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:67ba9ee0b88bb5961a14992748c021c87f8a59bd2efd9c65509e36076a6e3229
+size 5333449369

model-00019-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:65c34375b932fb13ecfb27c2588f326450e54604616bde870b38e1c8e96070a0
+size 5333449485

model-00020-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1a56d13e3ef8c80bfd1f571c93cab708a7b2b6aaa1dd958df4fd51f90d0d1eaf
+size 4966447817

model-00021-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:42b36361206e0bfbbbf24dba154d28d4fc46163d22aac3edb90574ee1dd8fb58
+size 5337575118

model-00022-of-00022.safetensors ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6388ae50b68ffffc8c46e568345ffa95d31d9b647fcc64c2670f15c8549e602a
+size 2083001924

model.safetensors.index.json ADDED Viewed

The diff for this file is too large to render. See raw diff

preprocessor_config.json ADDED Viewed

	@@ -0,0 +1,21 @@

+{
+    "size": {
+        "longest_edge": 16777216,
+        "shortest_edge": 65536
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "image_processor_type": "Qwen2VLImageProcessorFast"
+}

processor_config.json ADDED Viewed

	@@ -0,0 +1,50 @@

+{
+  "image_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_processor_type": "Qwen3VLImageProcessor",
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "max_pixels": 16777216,
+    "merge_size": 2,
+    "min_pixels": 65536,
+    "patch_size": 16,
+    "rescale_factor": 0.00392156862745098,
+    "temporal_patch_size": 2
+  },
+  "processor_class": "Qwen3VLProcessor",
+  "video_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "fps": 2.0,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "max_frames": 768,
+    "max_pixels": 25165824,
+    "merge_size": 2,
+    "min_frames": 4,
+    "min_pixels": 4096,
+    "patch_size": 16,
+    "rescale_factor": 0.00392156862745098,
+    "temporal_patch_size": 2,
+    "video_processor_type": "Qwen3VLVideoProcessor"
+  }
+}

tokenizer.json ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,33 @@

+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "processor_class": "Qwen3VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

video_preprocessor_config.json ADDED Viewed

	@@ -0,0 +1,21 @@

+{
+    "size": {
+        "longest_edge": 25165824,
+        "shortest_edge": 4096
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "video_processor_type": "Qwen3VLVideoProcessor"
+}

vocab.json ADDED Viewed

The diff for this file is too large to render. See raw diff