Publish Macaron-V1-Coding-Venti

.gitattributes

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+*.safetensors filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.pdf filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

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+MIT License
+
+Copyright (c) 2026 MindLab Research
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+language:
+- en
+- zh
+license: mit
+base_model: zai-org/GLM-5.2
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- macaron
+- macaron-v1
+- glm-5.2
+- coding-agent
+- merged-lora
+- tool-use
+- terminal-agent
+- swe-agent
+---
+
+# Macaron-V1-Coding-Venti
+
+<div align="center">
+  <img src="assets/mindlab_logo.svg" width="32%" alt="MindLab logo"/>
+</div>
+
+<p align="center">
+  <a href="https://huggingface.co/mindlab-research/Macaron-V1-Venti"><img alt="Parent model" src="https://img.shields.io/badge/Parent-Macaron--V1--Venti-0A7CFF?style=flat-square"></a>
+  <a href="https://mintcn.macaron.xin/"><img alt="Hosted API" src="https://img.shields.io/badge/Hosted%20API-Macaron-0A7CFF?style=flat-square"></a>
+  <a href="https://github.com/MindLab-Research/macaron-artifacts"><img alt="Macaron Artifacts" src="https://img.shields.io/badge/Macaron%20Artifacts-GitHub-181717?style=flat-square&amp;logo=github&amp;logoColor=white"></a>
+  <a href="https://macaron.im/mindlab/research/introducing-macaron-v1"><img alt="Blog" src="https://img.shields.io/badge/Blog-Introducing%20Macaron--V1-0A7CFF?style=flat-square"></a>
+  <img alt="Tech report coming soon" src="https://img.shields.io/badge/Tech%20Report-coming%20soon-lightgrey?style=flat-square">
+  <a href="LICENSE"><img alt="License: MIT" src="https://img.shields.io/badge/License-MIT-green?style=flat-square"></a>
+</p>
+
+Macaron-V1-Coding-Venti is the coding-specialist checkpoint in the Macaron-V1 family. It is produced by merging the Macaron-V1-Venti L2 Coding LoRA specialist into the GLM-5.2 BF16 base model, yielding a single merged checkpoint for coding, terminal, repository, and software-engineering workflows.
+
+This repository is intended for deployments that want the coding specialist as a standard merged model without runtime LoRA routing. For the full routed Chat, Agent, Coding, and GenUI Mixture of LoRA (MoL) system, use [Macaron-V1-Venti](https://huggingface.co/mindlab-research/Macaron-V1-Venti).
+
+## Highlights
+
+- A merged GLM-5.2 coding-specialist checkpoint derived from the Macaron-V1-Venti L2 Coding LoRA.
+- No runtime adapter loading is required: the LoRA update is merged directly into the BF16 base weights.
+- Built for code understanding, repository-level software engineering, terminal use, and coding-agent workflows.
+- Shares the Macaron-V1 post-training stack and evaluation harness used for the flagship Macaron-V1-Venti release.
+
+## Model Overview
+
+| Field | Value |
+|---|---|
+| Model name | Macaron-V1-Coding-Venti |
+| Organization | MindLab Research |
+| Release family | Macaron-V1 |
+| Base model | GLM-5.2 |
+| Source specialist | Macaron-V1-Venti L2 Coding LoRA |
+| Checkpoint type | BF16 merged checkpoint |
+| Runtime architecture | GLM-5.2 weights with coding LoRA update merged into the base |
+| Primary domains | Coding, terminal workflows, software-engineering agents |
+| Context length | 1M |
+| License | MIT |
+
+## Evaluation
+
+The coding-specialist release reports the coding and terminal slices from the Macaron-V1 evaluation suite.
+
+| Benchmark | Macaron V1 | GLM 5.2 | GPT 5.5 | Claude Opus 4.8 | Gemini 3.1 Pro | Qwen 3.7 Max | Minimax M3 |
+|---|---:|---:|---:|---:|---:|---:|---:|
+| SWE Verified | 85.6 | 80.4 | 82.9 | 88.6 | 80.6 | 80.4 | 80.5 |
+| TerminalBench 2.1 | 87.6 | 82.7 | 83.4 | 78.9 | 70.7 | 73.5 | 66.0 |
+| DeepSWE | 58.4 | 54.9 | 70.0 | 58.0 | 10.0 | 18.0 | 20.0 |
+| SWE Atlas QnA | 49.5 | 48.9 | 45.4 | 57.3 | 13.5 | 22.6 | 37.9 |
+
+Higher is better for all scores shown in the table.
+
+### Evaluation Protocols
+
+The coding benchmark table is mirrored in [`evaluation/coding_benchmark_summary.yaml`](evaluation/coding_benchmark_summary.yaml) for reproducibility and downstream parsing.
+
+The full benchmark methodology will be released with the technical report.
+
+## Usage
+
+This repository contains a merged checkpoint. Load it as a standard GLM-5.2-compatible causal language model; no PEFT adapter attachment or MoL router is required.
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+repo_id = "mindlab-research/Macaron-V1-Coding-Venti"
+
+tokenizer = AutoTokenizer.from_pretrained(
+    repo_id,
+    trust_remote_code=True,
+)
+
+model = AutoModelForCausalLM.from_pretrained(
+    repo_id,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+    trust_remote_code=True,
+)
+model.eval()
+```
+
+For production serving, use the same GLM-5.2-compatible serving stack you would use for a merged BF16 checkpoint. The full Macaron routed system, including Chat, Agent, Coding, and GenUI specialists, remains available through [Macaron-V1-Venti](https://huggingface.co/mindlab-research/Macaron-V1-Venti) and the [Mixture of LoRA (MoL) serving harness](https://github.com/MindLab-Research/Mixture-of-LoRA-Harness).
+
+## Macaron Artifacts
+
+[Macaron Artifacts](https://github.com/MindLab-Research/macaron-artifacts) is the companion local WebUI and plugin bundle for viewing Macaron sessions and generated artifacts. It supports Claude Code, Codex, and Kimi Code, and can run against Macaron or another Anthropic-compatible endpoint.
+
+Install it as a plugin in the agent runtime you use:
+
+```text
+# Claude Code
+/plugin marketplace add https://github.com/MindLab-Research/macaron-artifacts
+/plugin install macaron@macaron
+```
+
+```bash
+# Codex
+codex plugin marketplace add https://github.com/MindLab-Research/macaron-artifacts
+codex plugin add macaron@macaron
+```
+
+```text
+# Kimi Code
+/plugins install https://github.com/MindLab-Research/macaron-artifacts
+/reload
+```
+
+## License
+
+This repository is released under the MIT License. Users should also respect any requirements inherited from the GLM-5.2 base model and from dependencies used by their serving stack.
+
+## Citation
+
+```bibtex
+@misc{mindlab2026macaronv1,
+  author = {{Mind Lab}},
+  title = {Introducing Macaron-V1},
+  year = {2026},
+  howpublished = {Mind Lab: A Lab for Experiential Intelligence},
+  note = {https://macaron.im/mindlab/research/introducing-macaron-v1}
+}
+```

chat_template.jinja

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+[gMASK]<sop>
+{%- set effective_reasoning_effort = 'high' if reasoning_effort is defined and reasoning_effort == 'high' else 'max' -%}
+{%- if (enable_thinking is not defined or enable_thinking) and effective_reasoning_effort is not none -%}<|system|>Reasoning Effort: {{ effective_reasoning_effort | capitalize }}{%- endif -%}
+{%- if tools -%}
+{%- macro tool_to_json(tool) -%}
+    {%- set ns_tool = namespace(first=true) -%}
+    {{ '{' -}}
+    {%- for k, v in tool.items() -%}
+        {%- if k != 'defer_loading' and k != 'strict' -%}
+            {%- if not ns_tool.first -%}{{- ', ' -}}{%- endif -%}
+            {%- set ns_tool.first = false -%}
+            "{{ k }}": {{ v | tojson(ensure_ascii=False) }}
+        {%- endif -%}
+    {%- endfor -%}
+    {{- '}' -}}
+{%- endmacro -%}
+<|system|>
+# Tools
+
+You may call one or more functions to assist with the user query.
+
+You are provided with function signatures within <tools></tools> XML tags:
+<tools>
+{% for tool in tools %}
+{%- if 'function' in tool -%}
+    {%- set tool = tool['function'] -%}
+{%- endif -%}
+{% if tool.defer_loading is not defined or not tool.defer_loading %}
+{{ tool_to_json(tool) }}
+{% endif %}
+{% endfor %}
+</tools>
+
+For each function call, output the function name and arguments within the following XML format:
+<tool_call>{function-name}<arg_key>{arg-key-1}</arg_key><arg_value>{arg-value-1}</arg_value><arg_key>{arg-key-2}</arg_key><arg_value>{arg-value-2}</arg_value>...</tool_call>{%- endif -%}
+{%- macro visible_text(content) -%}
+    {%- if content is string -%}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping -%}
+        {%- for item in content -%}
+            {%- if item is mapping and item.type == 'text' -%}
+                {{- item.text }}
+            {%- elif item is string -%}
+                {{- item }}
+            {%- elif item is mapping and item.type in ['image', 'image_url', 'video', 'video_url', 'audio', 'audio_url', 'input_audio'] -%}
+                {%- set media_type = item.type | replace('_url', '') | replace('input_', '') -%}
+                {{- "<reminder>You are unable to process this " ~ media_type ~ " because you don't have multi-modal input ability. Try different methods.</reminder>" }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{- content }}
+    {%- endif -%}
+{%- endmacro -%}
+{%- set ns = namespace(last_user_index=-1) -%}
+{%- for m in messages %}
+    {%- if m.role == 'user' %}
+        {%- set ns.last_user_index = loop.index0 -%}
+    {%- endif %}
+{%- endfor %}
+{%- for m in messages -%}
+{%- if m.role == 'user' -%}<|user|>{{ visible_text(m.content) }}
+{%- elif m.role == 'assistant' -%}
+<|assistant|>
+{%- set content = visible_text(m.content) %}
+{%- if m.reasoning_content is string %}
+    {%- set reasoning_content = m.reasoning_content %}
+{%- elif '</think>' in content %}
+    {%- set reasoning_content = content.split('</think>')[0].split('<think>')[-1] %}
+    {%- set content = content.split('</think>')[-1] %}
+{%- endif %}
+{%- if ((clear_thinking is defined and not clear_thinking) or loop.index0 > ns.last_user_index) and reasoning_content is defined -%}
+{{ '<think>' + reasoning_content +  '</think>'}}
+{%- else -%}
+{{ '<think></think>' }}
+{%- endif -%}
+{%- if content.strip() -%}
+{{ content.strip() }}
+{%- endif -%}
+{% if m.tool_calls %}
+{% for tc in m.tool_calls %}
+{%- if tc.function %}
+    {%- set tc = tc.function %}
+{%- endif %}
+{{- '<tool_call>' + tc.name -}}
+{% set _args = tc.arguments %}{% for k, v in _args.items() %}<arg_key>{{ k }}</arg_key><arg_value>{{ v | tojson(ensure_ascii=False) if v is not string else v }}</arg_value>{% endfor %}</tool_call>{% endfor %}
+{% endif %}
+{%- elif m.role == 'tool' -%}
+{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+    {{- '<|observation|>' -}}
+{%- endif %}
+{%- if m.content is string -%}
+    {{- '<tool_response>' + m.content + '</tool_response>' -}}
+{%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0.type == "tool_reference" -%}
+    {{- '<tool_response><tools>\n' -}}
+    {% for tr in m.content %}
+        {%- for tool in tools -%}
+            {%- if 'function' in tool -%}
+                {%- set tool = tool['function'] -%}
+            {%- endif -%}
+            {%- if tool.name == tr.name -%}
+                {{- tool_to_json(tool) + '\n' -}}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- endfor -%}
+    {{- '</tools></tool_response>' -}}
+{%- elif m.content is iterable and m.content is not mapping and m.content and m.content.0 is mapping and m.content.0.output is defined -%}
+    {%- for tr in m.content -%}
+        {{- '<tool_response>' + tr.output + '</tool_response>' -}}
+    {%- endfor -%}
+{%- else -%}
+    {{- '<tool_response>' + visible_text(m.content) + '</tool_response>' -}}
+{% endif -%}
+{%- elif m.role == 'system' -%}
+<|system|>{{ visible_text(m.content) }}
+{%- endif -%}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    <|assistant|>{{- '<think></think>' if (enable_thinking is defined and not enable_thinking) else '<think>' -}}
+{%- endif -%}

config.json

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+{
+  "architectures": [
+    "GlmMoeDsaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": [
+    154820,
+    154827,
+    154829
+  ],
+  "ep_size": 1,
+  "first_k_dense_replace": 3,
+  "head_dim": 192,
+  "hidden_act": "silu",
+  "hidden_size": 6144,
+  "index_head_dim": 128,
+  "index_n_heads": 32,
+  "index_share_for_mtp_iteration": true,
+  "index_skip_topk_offset": 3,
+  "index_topk": 2048,
+  "index_topk_freq": 4,
+  "index_topk_pattern": null,
+  "indexer_rope_interleave": true,
+  "indexer_types": [
+    "full",
+    "full",
+    "full",
+    "shared",
+    "shared",
+    "shared",
+    "full",
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+    "full",
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+    "shared",
+    "shared",
+    "full",
+    "shared",
+    "shared",
+    "shared"
+  ],
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "kv_lora_rank": 512,
+  "max_position_embeddings": 1048576,
+  "mlp_layer_types": [
+    "dense",
+    "dense",
+    "dense",
+    "sparse",
+    "sparse",
+    "sparse",
+    "sparse",
+    "sparse",
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+    "sparse",
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+    "sparse",
+    "sparse",
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+    "sparse",
+    "sparse",
+    "sparse",
+    "sparse",
+    "sparse",
+    "sparse",
+    "sparse"
+  ],
+  "model_type": "glm_moe_dsa",
+  "moe_intermediate_size": 2048,
+  "moe_layer_freq": 1,
+  "moe_router_dtype": "float32",
+  "n_group": 1,
+  "n_routed_experts": 256,
+  "n_shared_experts": 1,
+  "norm_topk_prob": true,
+  "num_attention_heads": 64,
+  "num_experts_per_tok": 8,
+  "num_hidden_layers": 78,
+  "num_key_value_heads": 64,
+  "num_nextn_predict_layers": 1,
+  "pad_token_id": 154820,
+  "pretraining_tp": 1,
+  "q_lora_rank": 2048,
+  "qk_head_dim": 256,
+  "qk_nope_head_dim": 192,
+  "qk_rope_head_dim": 64,
+  "rms_norm_eps": 1e-05,
+  "rope_interleave": true,
+  "rope_parameters": {
+    "rope_theta": 8000000,
+    "rope_type": "default"
+  },
+  "routed_scaling_factor": 2.5,
+  "scoring_func": "sigmoid",
+  "tie_word_embeddings": false,
+  "topk_group": 1,
+  "topk_method": "noaux_tc",
+  "transformers_version": "5.12.0",
+  "use_cache": true,
+  "v_head_dim": 256,
+  "vocab_size": 154880
+}

evaluation/coding_benchmark_summary.yaml

@@ -0,0 +1,25 @@
+model: Macaron-V1-Coding-Venti
+source:
+  name: Model Card
+  url: https://huggingface.co/mindlab-research/Macaron-V1-Coding-Venti
+notes:
+  higher_is_better: true
+  missing_values_are_null: false
+  checkpoint_type: merged GLM-5.2 BF16 checkpoint with Macaron-V1 L2 Coding LoRA update merged into the base weights
+baselines:
+  - Macaron V1
+  - GLM 5.2
+  - GPT 5.5
+  - Claude Opus 4.8
+  - Gemini 3.1 Pro
+  - Qwen 3.7 Max
+  - Minimax M3
+results:
+  - benchmark: SWE Verified
+    scores: {Macaron V1: 85.6, GLM 5.2: 80.4, GPT 5.5: 82.9, Claude Opus 4.8: 88.6, Gemini 3.1 Pro: 80.6, Qwen 3.7 Max: 80.4, Minimax M3: 80.5}
+  - benchmark: TerminalBench 2.1
+    scores: {Macaron V1: 87.6, GLM 5.2: 82.7, GPT 5.5: 83.4, Claude Opus 4.8: 78.9, Gemini 3.1 Pro: 70.7, Qwen 3.7 Max: 73.5, Minimax M3: 66.0}
+  - benchmark: DeepSWE
+    scores: {Macaron V1: 58.4, GLM 5.2: 54.9, GPT 5.5: 70.0, Claude Opus 4.8: 58.0, Gemini 3.1 Pro: 10.0, Qwen 3.7 Max: 18.0, Minimax M3: 20.0}
+  - benchmark: SWE Atlas QnA
+    scores: {Macaron V1: 49.5, GLM 5.2: 48.9, GPT 5.5: 45.4, Claude Opus 4.8: 57.3, Gemini 3.1 Pro: 13.5, Qwen 3.7 Max: 22.6, Minimax M3: 37.9}

generation_config.json

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+{
+  "_from_model_config": true,
+  "eos_token_id": [
+    154820,
+    154827,
+    154829
+  ],
+  "pad_token_id": 154820,
+  "temperature": 1.0,
+  "top_p": 0.95,
+  "transformers_version": "5.12.0"
+}

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