NVFP4 quantisation with the MTP head intact (2399 tensors, mtp.fc.weight present)

.gitattributes

@@ -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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,231 @@
+---
+base_model:
+- nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451
+library_name: transformers
+pipeline_tag: image-text-to-text
+tags:
+- nvfp4
+- modelopt
+- vllm
+- speculative-decoding
+- mtp
+- dgx-spark
+---
+
+# Qwen3.6-27B-Architect-Polaris2-Fable-B-NVFP4-MTP
+
+NVFP4 quantisation of
+[nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451](https://huggingface.co/nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451),
+built to run on a 128 GB DGX Spark, **with the MTP speculative-decoding head
+intact**.
+
+This is the same quantisation as
+[PassingByPixels/Qwen3.6-27B-Architect-Polaris2-Fable-B-NVFP4](https://huggingface.co/PassingByPixels/Qwen3.6-27B-Architect-Polaris2-Fable-B-NVFP4)
+plus one 105 MB tensor that the other repo is missing. **If you want speculative
+decoding, use this one.** If you do not, either works.
+
+| | this repo (`-MTP`) | the plain `-NVFP4` repo |
+|---|---|---|
+| tensors | **2399** | 2398 |
+| `mtp.fc.weight` | **present** | absent |
+| runs `--speculative-config method=mtp` | **yes** | loads, then drafts garbage |
+| size | 20.6 GB | 20.5 GB |
+
+---
+
+## Read this first: the missing tensor problem
+
+The upstream bf16 repo was **re-uploaded on 2026-07-21** to add
+`mtp.fc.weight` - the fusion projection the MTP head needs to combine its two
+inputs. **A checkpoint pulled before that date has `mtp.layers.0.*` but no
+`mtp.fc`, and this is a silent failure.**
+
+vLLM disables strict weight-initialisation checking for quantized configs. The
+missing tensor is allocated, nothing is loaded into it, and it keeps whatever
+was in that memory. The MTP head then drafts from a **random projection**: no
+exception, no warning, nothing in the log. Every drafted token is rejected, you
+pay the drafting cost for nothing, and decode gets *slower*. The only symptom is
+a number you were probably not measuring.
+
+Check your own copy:
+
+```python
+import json, urllib.request
+idx = json.load(urllib.request.urlopen(
+    "https://huggingface.co/<repo>/resolve/main/model.safetensors.index.json"))
+print("mtp.fc.weight:", "mtp.fc.weight" in idx["weight_map"])
+```
+
+`False` means MTP will not work for you, however healthy it looks.
+
+## Serving it
+
+Tested on vLLM `0.25.2.dev0` (arm64/CUDA 13 build), DGX Spark GB10, sm_121a.
+
+**Plain, no speculative decoding:**
+
+```bash
+vllm serve PassingByPixels/Qwen3.6-27B-Architect-Polaris2-Fable-B-NVFP4-MTP \
+  --kv-cache-dtype fp8 --attention-backend flashinfer \
+  --max-model-len 131072 --gpu-memory-utilization 0.72 --max-num-seqs 64 \
+  --reasoning-parser qwen3 --trust-remote-code \
+  --enable-auto-tool-choice --tool-call-parser qwen3_xml
+```
+
+**With MTP (recommended):** add
+
+```bash
+  --speculative-config '{"method":"mtp","num_speculative_tokens":2}'
+```
+
+No separate draft model - vLLM rewrites this checkpoint's own config into a
+`Qwen3_5MTP` draft and reads the head out of these weights. It is a reasoning
+model, so pass `chat_template_kwargs: {"enable_thinking": false}` if you do not
+want the budget spent inside `<think>`.
+
+**With DFlash** (much faster on file-editing work, much slower on prose, and it
+needs a patched draft because the published one does not load on vLLM at all):
+see the recipe repo linked below.
+
+---
+
+## Is speculative decoding worth it? Measured, not guessed
+
+540 measurements on this checkpoint: 3 configs x 3 workloads x 10 concurrency
+levels x 6 shuffled rounds, all clean, standard deviation mostly under 1%.
+
+### The plain-English version
+
+An AI writes one word at a time, and each word means re-reading the whole model
+from memory. That memory trip is the slow part. **Speculative decoding** adds a
+small fast helper that guesses the next few words so the big model can check
+them in one go. Right guesses are free. Wrong guesses are thrown away and cost
+you time.
+
+**So it is a bet on whether the next words are predictable.**
+
+- **MTP** guesses **2 words** ahead and is usually right. Small bet, reliable.
+- **DFlash** guesses **15 words** ahead at once. Astonishing when the text is
+  predictable; wasteful when it is not.
+
+Text is predictable when the model is mostly **copying something you just gave
+it** - "here is my file, rename this variable" - which is what coding assistants
+do all day. It is unpredictable when the model is **writing something new**.
+
+How often each helper guessed right, on this model:
+
+| | writing prose | writing code | editing a file |
+|---|---|---|---|
+| **MTP** | 47% | 76% | **100%** |
+| **DFlash** | **6%** | 19% | 83% |
+
+**DFlash guessing right 6% of the time on prose is the whole reason it is not a
+magic speed-up button.**
+
+### MTP is a safe upgrade. Use it by default.
+
+Aggregate tokens/sec vs no speculative decoding:
+
+| workload | MTP vs no-spec |
+|---|---|
+| **code** | wins at **every** concurrency level tested, up to **+70%** |
+| **edit** | wins at **every** level, up to **+104%** |
+| prose | wins at 1-8, 24, 32 streams (up to +32%); loses at 12 (-11%), 16 (-10%), 64 (-7%) |
+
+It costs about **10% of the KV cache pool** and nothing else. On code and editing
+there is no concurrency at which it is the wrong choice. On free-form prose above
+8 concurrent streams it is roughly a coin flip - that is where its acceptance is
+weakest (47%).
+
+### DFlash is a specialist tool with a sharp edge
+
+Single stream on editing work it is **+716%** over no speculation and **+311%**
+over MTP. That is real. But:
+
+- On **prose** it is beaten by *doing nothing* from 4 concurrent streams up.
+- It costs **40%** of the KV pool (second model + 15 draft slots per stream).
+- It caps at about **22 concurrent streams** on this hardware and queues the
+  rest - median time to first token at 64 streams goes to **138 seconds**.
+
+**Rule of thumb: DFlash below its ~22-stream ceiling for edit-heavy agentic
+coding; MTP for everything else and for crowds.**
+
+Full charts, tables, the 540-cell dataset and the fix that makes DFlash load on
+vLLM at all:
+
+**[-> Qwen3.6-27B-Architect-Polaris2-Fable-B-NVFP4_Dflash_DGX_recipe](https://github.com/PassingByPixels/Qwen3.6-27B-Architect-Polaris2-Fable-B-NVFP4_Dflash_DGX_recipe)**
+
+### A warning about averages
+
+Averaging prose/code/edit assumes editing is exactly a third of your traffic.
+**72% of DFlash's average comes from the edit workload alone.** Drop editing and
+average only prose and code, and MTP wins from 4 streams up. Measure your own
+mix instead - acceptance rate tells you directly:
+
+```bash
+curl -s http://127.0.0.1:8000/metrics \
+  | grep -E 'spec_decode_num_(accepted|draft)_tokens_total'
+```
+
+Near 0.06 is prose-like (do not use DFlash); near 0.83 is edit-like (do).
+
+---
+
+## How this was made
+
+Source: `nightmedia/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451` - bf16, 1199
+tensors, 55,457,998,304 bytes, a `nuslerp` mergekit merge of two Qwen3.6-27B
+Architect-Polaris Fable variants. Uploaded with nightmedia's permission.
+
+Quantised with **NVIDIA ModelOpt 0.45.0**, `examples/llm_ptq/hf_ptq.py`:
+
+```
+--qformat nvfp4 --calib_size 512 --dataset cnn_dailymail
+--batch_size 0 --inference_tensor_parallel 1
+```
+
+ModelOpt auto-excludes `linear_attn`, the vision tower, `mtp.*`, embeddings and
+`lm_head` from quantisation - see `quant_summary.txt` in this repo for the
+per-layer record, and `hf_quant_config.json` for the exclusion patterns.
+Output: 2398 tensors, 20,487,991,904 bytes.
+
+`mtp.fc.weight` ([5120, 10240] BF16, 104,857,600 bytes) was then taken from the
+corrected upstream revision and added as `model-mtp-fc.safetensors`, with the
+index updated - **2399 tensors, 20,592,849,504 bytes**. vLLM's own source
+expects this tensor to be unquantized in NVFP4 checkpoints
+(`qwen3_5_mtp.py`: *"mtp.fc is stored as BF16 in NVFP4 checkpoints ... Force
+unquantized"*), so a spliced BF16 tensor is exactly what a fresh PTQ run would
+have emitted.
+
+The three VL processor configs (`preprocessor_config.json`,
+`processor_config.json`, `video_preprocessor_config.json`) are included -
+ModelOpt does not emit them and vLLM hard-fails a VL model at init without them.
+
+## Limitations
+
+- **Measured on one machine, one model.** DGX Spark GB10, 121.7 GiB unified
+  memory, sm_121a, arm64, a community arm64/CUDA-13 vLLM build. No claim about
+  other hardware, multi-node, or other quantizations.
+- **Acceptance rates are specific to this checkpoint.** The MTP head was
+  inherited through a four-generation mergekit merge and never retrained. A
+  different model will have different acceptance, and therefore different
+  crossover points.
+- **No quality evaluation was run here.** NVFP4 is a lossy 4-bit quantisation.
+  These numbers are throughput only; nothing in this card says the output is as
+  good as the bf16 source.
+- **Benchmarks ran with thinking disabled** and 512-token generations. Long
+  reasoning traces were not measured.
+- `min_p` and `logit_bias` do not work under speculative decoding (vLLM warns at
+  startup).
+
+## Credits
+
+- **[nightmedia](https://huggingface.co/nightmedia)** - the bf16 merge this is
+  quantised from, and its Architect-Polaris merge stages. All the model work is
+  theirs; uploaded with their permission. That merge in turn credits
+  Qwen/Qwen3.6-27B and its own upstreams.
+- **[z-lab](https://huggingface.co/z-lab)** - the DFlash draft used in the
+  comparison.
+- **NVIDIA ModelOpt** - the PTQ pipeline.
+- **vLLM** - the serving engine, including the `Qwen3_5MTP` support that makes
+  the MTP head usable at all.

chat_template.jinja

@@ -0,0 +1,236 @@
+{%- set _enable_thinking = false %}
+{%- set preserve_thinking = true %}
+{%- 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 is defined and 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 is defined and 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 %}
+{%- set ns_flags = namespace(enable_thinking=true) %}
+{%- if enable_thinking is defined %}
+    {%- set ns_flags.enable_thinking = enable_thinking %}
+{%- endif %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {{- "# 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' or messages[0].role == 'developer' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if '<|think_off|>' in content %}
+            {%- set ns_flags.enable_thinking = false %}
+            {%- set content = content.replace('<|think_off|>', '') %}
+        {%- endif %}
+        {%- if '<|think_on|>' in content %}
+            {%- set ns_flags.enable_thinking = true %}
+            {%- set content = content.replace('<|think_on|>', '') %}
+        {%- endif %}
+        {%- if '<|think_forget|>' in content %}
+            {%- set ns_flags.preserve_thinking = false %}
+            {%- set content = content.replace('<|think_forget|>', '') %}
+        {%- endif %}
+        {%- if '<|think_remember|>' in content %}
+            {%- set ns_flags.preserve_thinking = true %}
+            {%- set content = content.replace('<|think_remember|>', '') %}
+        {%- endif %}
+        {%- set content = content.strip() %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' or messages[0].role == 'developer' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if '<|think_off|>' in content %}
+            {%- set ns_flags.enable_thinking = false %}
+            {%- set content = content.replace('<|think_off|>', '') %}
+        {%- endif %}
+        {%- if '<|think_on|>' in content %}
+            {%- set ns_flags.enable_thinking = true %}
+            {%- set content = content.replace('<|think_on|>', '') %}
+        {%- endif %}
+        {%- if '<|think_forget|>' in content %}
+            {%- set ns_flags.preserve_thinking = false %}
+            {%- set content = content.replace('<|think_forget|>', '') %}
+        {%- endif %}
+        {%- if '<|think_remember|>' in content %}
+            {%- set ns_flags.preserve_thinking = true %}
+            {%- set content = content.replace('<|think_remember|>', '') %}
+        {%- endif %}
+        {%- set content = content.strip() %}
+        {{- '<|im_start|>system\n' + content + '<|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 '<|think_off|>' in content %}
+        {%- set ns_flags.enable_thinking = false %}
+        {%- set content = content.replace('<|think_off|>', '') %}
+    {%- endif %}
+    {%- if '<|think_on|>' in content %}
+        {%- set ns_flags.enable_thinking = true %}
+        {%- set content = content.replace('<|think_on|>', '') %}
+    {%- endif %}
+    {%- if '<|think_forget|>' in content %}
+        {%- set ns_flags.preserve_thinking = false %}
+        {%- set content = content.replace('<|think_forget|>', '') %}
+    {%- endif %}
+    {%- if '<|think_remember|>' in content %}
+        {%- set ns_flags.preserve_thinking = true %}
+        {%- set content = content.replace('<|think_remember|>', '') %}
+    {%- endif %}
+    {%- set content = content.strip() %}
+    {%- if message.role == "system" or message.role == "developer" %}
+        {%- 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 %}
+        {%- else %}
+            {%- set has_think_tag = false %}
+            {%- set think_end_token = '</think>' %}
+            {%- if '</think>' in content %}
+                {%- set has_think_tag = true %}
+            {%- elif '</thinking>' in content %}
+                {%- set has_think_tag = true %}
+                {%- set think_end_token = '</thinking>' %}
+            {%- elif '<think>' in content %}
+                {%- set reasoning_content = content.split('<think>')[-1].lstrip('\n') %}
+                {%- set content = '' %}
+            {%- endif %}
+            {%- if has_think_tag %}
+                {%- set reasoning_content = content.split(think_end_token)[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+                {%- set content = content.split(think_end_token)[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- set show_think = false %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- set show_think = true %}
+        {%- elif ns_flags.enable_thinking and (preserve_thinking is undefined or preserve_thinking is true) and reasoning_content|length > 0 %}
+            {%- set show_think = true %}
+        {%- endif %}
+        {%- if show_think %}
+            {{- '<|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 is mapping %}
+                    {%- if tool_call.arguments|length > 0 %}
+                        {%- for args_name in tool_call.arguments %}
+                            {%- set args_value = tool_call.arguments[args_name] %}
+                            {{- '<parameter=' + args_name + '>\n' }}
+                            {%- set args_value = args_value | string if args_value is string else args_value | tojson %}
+                            {{- args_value }}
+                            {{- '\n</parameter>\n' }}
+                        {%- endfor %}
+                    {%- endif %}
+                {%- elif tool_call.arguments is defined and tool_call.arguments is string %}
+                    {%- if tool_call.arguments|trim|length > 0 %}
+                        {{- tool_call.arguments }}
+                        {{- '\n' }}
+                    {%- endif %}
+                {%- 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 ns_flags.enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,330 @@
+{
+    "architectures": [
+        "Qwen3_5ForConditionalGeneration"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "dtype": "bfloat16",
+    "image_token_id": 248056,
+    "language_model_only": false,
+    "model_name": "/mnt/w/27B-Qwen3.6-R64-it-vl-HERE-Bradbury-F451-qfx-ss-1x1",
+    "model_type": "qwen3_5",
+    "pad_token_id": 0,
+    "text_config": {
+        "attention_bias": false,
+        "attention_dropout": 0.0,
+        "attn_output_gate": true,
+        "bos_token_id": 248044,
+        "dtype": "bfloat16",
+        "eos_token_id": 248044,
+        "full_attention_interval": 4,
+        "head_dim": 256,
+        "hidden_act": "silu",
+        "hidden_size": 5120,
+        "initializer_range": 0.02,
+        "intermediate_size": 17408,
+        "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",
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generation_config.json

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+{
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+  "do_sample": true,
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+  "transformers_version": "5.9.0"
+}

hf_quant_config.json

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