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Publish AX-Qwen3-Embedding-0.6B-MLX-AXQ-MXFP4

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: mlx
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+ base_model: Qwen/Qwen3-Embedding-0.6B
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+ base_model_relation: quantized
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+ pipeline_tag: feature-extraction
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+ tags:
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+ - mlx
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+ - apple-silicon
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+ - quantized
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+ - mixed-precision
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+ - axquant
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+ - axq
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+ - development
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+ - qwen3
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+ - MXFP4
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+ - MXFP4
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+ - embedding
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+ - sentence-similarity
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+ ---
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+
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+ # AX-Qwen3-Embedding-0.6B-MLX-AXQ-MXFP4 — 5.36 BPW measured main
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+
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+ An **AXQuant (AXQ)** mixed-precision MLX checkpoint for Apple Silicon, converted directly from
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+ the BF16 source model. The language path is quantized under AXQuant protection floors (embeddings, norms, and other protected tensors remain higher precision).
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+
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+ > **Development evidence — not a certified AXQuant release.** This package has conversion and
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+ > artifact-integrity records, but it does not publish measured quality, long-context, kernel-speed,
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+ > or MTP-speed evidence. Do not interpret the AXQ product label as a benchmark claim.
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+
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+
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+ ## Model details
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+
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+ | Property | Value |
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+ | --- | --- |
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+ | Base model | [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/tree/97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3) |
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+ | Source revision | `97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3` |
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+ | Product family | `qwen3` |
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+ | Source architecture | `Qwen3ForCausalLM` (dense); text path optimized |
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+ | Main-model parameters | 595.78M logical parameters |
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+ | Quantizer | AXQuant `1.9.0` |
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+ | Hub budget class | `MXFP4` |
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+ | AXQuant base precision class | `8bit` |
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+ | Planned storage-adjusted BPW | 5.9136 |
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+ | Measured main-model BPW | 5.3599 |
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+ | Measured total BPW | **5.3599** |
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+ | Safetensors weight size | 0.40 GB |
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+ | Approximate complete download | 0.42 GB |
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+ | Configured maximum context | 32,768 tokens; practical limits depend on unified memory |
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+ | Primary MLX runtime | MLX-LM |
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+ | AX Engine native execution | Not established; no validated native manifest is included |
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+ | MTP present | `False` |
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+ | Vision present | `False` |
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+ | Audio present | `False` |
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+
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+ This repository contains MLX Safetensors. It does **not** contain PyTorch or GGUF weights.
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+
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+ ## Choosing an AXQ pack
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+
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+ AXQ names describe a **storage-budget product class**, not one uniform precision applied to every
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+ tensor. Protected tensors remain at higher precision, so the exact measured BPW is authoritative.
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+ In particular, a `6bit`-named mixed plan may retain `4bit` as its base precision while selecting
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+ 6-bit, 8-bit, or BF16 for other tensors to meet an approximately 6-BPW total budget. Protection
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+ floors can also raise a `4bit`-named pack close to (or above) a `6bit` budget on small or heavily
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+ protected models. When that collapse happens, AutomatosX does **not** publish a separate
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+ misleading `4bit` sibling for that base.
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+
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+
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+ | Sibling | Intended trade-off |
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+ | --- | --- |
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+ | [4bit sibling](https://huggingface.co/AutomatosX/AX-Qwen3-Embedding-0.6B-MLX-AXQ-4bit) | Lower-storage AXQ budget; check its exact BPW |
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+ | [8bit sibling](https://huggingface.co/AutomatosX/AX-Qwen3-Embedding-0.6B-MLX-AXQ-8bit) | Higher average precision near the 8-BPW budget |
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+
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+ See the [AutomatosX collections](https://huggingface.co/AutomatosX/collections)
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+ for the family catalog, or the [complete index](https://huggingface.co/collections/AutomatosX/automatosx-mlx-model-catalog).
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+
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+ ## Download
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+
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+ ```bash
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+ python -m pip install -U huggingface_hub
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+ hf download AutomatosX/AX-Qwen3-Embedding-0.6B-MLX-AXQ-MXFP4 --local-dir ./AX-Qwen3-Embedding-0.6B-MLX-AXQ-MXFP4
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+ ```
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+
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+ Allow at least 0.42 GB of free disk space. Pin the resulting Hub commit in reproducible
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+ deployments rather than relying indefinitely on `main`.
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+
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+ ## Run with MLX-LM
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+
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+ ```bash
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+ python -m pip install -U mlx-lm
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+ mlx_lm.generate \
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+ --model AutomatosX/AX-Qwen3-Embedding-0.6B-MLX-AXQ-MXFP4 \
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+ --prompt "Explain mixed-precision quantization in three sentences." \
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+ --max-tokens 128 \
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+ --temp 0.0
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+ ```
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+
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+ MLX-LM compatibility covers standard **text/backbone inference**. It may ignore AXQuant runtime
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+ metadata and optional sidecars (`vision.safetensors`, `mtp.safetensors`); this command therefore
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+ does not establish MTP acceleration or vision-language quality. The artifact records MLX
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+ `0.32.1` and MLX-LM `0.31.3` from conversion.
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+
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+ ## AX Engine status
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+
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+ This package does **not** include a validated native `model-manifest.json`, so AX Engine execution
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+ is not established by this release. The AX Engine fields in `axquant_runtime.json` describe the
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+ intended compatibility contract, not observed runtime evidence. Use the architecture-specific MLX
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+ runtime path above. The artifact records AX Engine version
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+ `7.5.7`, but version discovery alone is not a runtime check.
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+
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+
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+ ## Quantization layout
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+
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+ | Main-weight precision | Parameters | Share |
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+ | --- | ---: | ---: |
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+ | `4bit` | 440.40M | 73.92% |
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+ | `8bit` | 155.31M | 26.07% |
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+ | `bf16` | 65,536 | 0.01% |
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+
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+ - Quantization methods: `affine, bf16, mxfp4`.
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+ - Group sizes used by quantized assignments: `32, 64`.
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+ - MTP sidecar: not included.
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+ - Vision sidecar: not included.
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+ - Optimization scope: `text-path`.
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+ - Support tier: `convertible`.
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+
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+ BF16 sidecars, when present, are included in total download size. Their presence does not by itself
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+ establish MTP acceleration or vision-language quality.
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+
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+ ## Evidence and validation status
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+
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+ | Check | Status |
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+ | --- | --- |
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+ | Planning evidence | `architecture_prior` |
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+ | Calibration | none; the allocation is based on architecture priors |
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+ | Quantizer execution | 197/197 recorded module conversions succeeded; 0 fallbacks |
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+ | AX Engine native manifest | not included |
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+ | Quality versus BF16 or uniform baselines | Not published; no quality-retention claim |
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+ | MTP acceptance and speed | not measured; no MTP speedup claim |
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+ | AX Engine kernel evidence | `unmeasured` |
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+ | Vision-language quality | Not applicable (no vision tower in this package) |
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+ | Speech-recognition quality | Not applicable |
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+ | Long-context quality | 32,768-token capacity is config metadata, not a validated claim |
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+ | Release certification | **Not certified**; formal AXQuant M0-M8 gates are not closed |
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+
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+ ## Intended use and limitations
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+
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+ - Intended for local development and evaluation on Apple Silicon with MLX-compatible runtimes.
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+ - No minimum unified-memory figure is claimed; loadability depends on model size, context length,
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+ KV-cache policy, runtime buffers, and other processes using unified memory.
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+ - Architecture-prior allocation is not measured sensitivity. It must not be presented as measured
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+ model quality.
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+ - The configured context window can require substantially more memory as the KV cache grows.
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+ - AX Engine execution is not established because this package has no validated native manifest.
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+
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+ - Upstream capabilities, limitations, biases, and responsible-use guidance still apply.
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+
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+ ## Provenance and audit files
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+
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+ - [`axquant_manifest.json`](axquant_manifest.json): package identity, byte accounting, runtime
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+ contract, software versions, and file checksums.
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+ - [`axquant_plan.json`](axquant_plan.json): per-tensor precision decisions and planning evidence.
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+ - [`axquant_quantizer_execution.json`](axquant_quantizer_execution.json): conversion coverage and
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+ fallback records.
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+ - [`axquant_runtime.json`](axquant_runtime.json): declared AX Engine and MLX compatibility metadata; runtime checks remain separate evidence.
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+
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+ All published provenance uses repository-relative paths. Local source paths are stripped before
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+ publication. The checkpoint was converted from BF16 rather than re-quantized from an OptiQ
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+ artifact. If an OptiQ repository is published separately, it uses a different quantizer and
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+ should not be assumed to have identical BPW or quality.
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+
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+ ## License
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+
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+ The checkpoint follows the upstream model license where applicable (often Apache License 2.0). See
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+ the [Qwen/Qwen3-Embedding-0.6B model card](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B/tree/97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3) for license terms, model
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+ limitations, and responsible-use guidance.
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+ "group_size": 32,
1719
+ "metadata": {},
1720
+ "method": "mxfp4",
1721
+ "module_path": "layers.6.mlp.up_proj",
1722
+ "note": "mlx-lm affine packing",
1723
+ "success": true
1724
+ },
1725
+ {
1726
+ "bits": 4,
1727
+ "fallback": false,
1728
+ "group_size": 32,
1729
+ "metadata": {},
1730
+ "method": "mxfp4",
1731
+ "module_path": "layers.6.self_attn.k_proj",
1732
+ "note": "mlx-lm affine packing",
1733
+ "success": true
1734
+ },
1735
+ {
1736
+ "bits": 4,
1737
+ "fallback": false,
1738
+ "group_size": 32,
1739
+ "metadata": {},
1740
+ "method": "mxfp4",
1741
+ "module_path": "layers.6.self_attn.o_proj",
1742
+ "note": "mlx-lm affine packing",
1743
+ "success": true
1744
+ },
1745
+ {
1746
+ "bits": 4,
1747
+ "fallback": false,
1748
+ "group_size": 32,
1749
+ "metadata": {},
1750
+ "method": "mxfp4",
1751
+ "module_path": "layers.6.self_attn.q_proj",
1752
+ "note": "mlx-lm affine packing",
1753
+ "success": true
1754
+ },
1755
+ {
1756
+ "bits": 4,
1757
+ "fallback": false,
1758
+ "group_size": 32,
1759
+ "metadata": {},
1760
+ "method": "mxfp4",
1761
+ "module_path": "layers.6.self_attn.v_proj",
1762
+ "note": "mlx-lm affine packing",
1763
+ "success": true
1764
+ },
1765
+ {
1766
+ "bits": 4,
1767
+ "fallback": false,
1768
+ "group_size": 32,
1769
+ "metadata": {},
1770
+ "method": "mxfp4",
1771
+ "module_path": "layers.7.mlp.down_proj",
1772
+ "note": "mlx-lm affine packing",
1773
+ "success": true
1774
+ },
1775
+ {
1776
+ "bits": 4,
1777
+ "fallback": false,
1778
+ "group_size": 32,
1779
+ "metadata": {},
1780
+ "method": "mxfp4",
1781
+ "module_path": "layers.7.mlp.gate_proj",
1782
+ "note": "mlx-lm affine packing",
1783
+ "success": true
1784
+ },
1785
+ {
1786
+ "bits": 4,
1787
+ "fallback": false,
1788
+ "group_size": 32,
1789
+ "metadata": {},
1790
+ "method": "mxfp4",
1791
+ "module_path": "layers.7.mlp.up_proj",
1792
+ "note": "mlx-lm affine packing",
1793
+ "success": true
1794
+ },
1795
+ {
1796
+ "bits": 4,
1797
+ "fallback": false,
1798
+ "group_size": 32,
1799
+ "metadata": {},
1800
+ "method": "mxfp4",
1801
+ "module_path": "layers.7.self_attn.k_proj",
1802
+ "note": "mlx-lm affine packing",
1803
+ "success": true
1804
+ },
1805
+ {
1806
+ "bits": 4,
1807
+ "fallback": false,
1808
+ "group_size": 32,
1809
+ "metadata": {},
1810
+ "method": "mxfp4",
1811
+ "module_path": "layers.7.self_attn.o_proj",
1812
+ "note": "mlx-lm affine packing",
1813
+ "success": true
1814
+ },
1815
+ {
1816
+ "bits": 4,
1817
+ "fallback": false,
1818
+ "group_size": 32,
1819
+ "metadata": {},
1820
+ "method": "mxfp4",
1821
+ "module_path": "layers.7.self_attn.q_proj",
1822
+ "note": "mlx-lm affine packing",
1823
+ "success": true
1824
+ },
1825
+ {
1826
+ "bits": 4,
1827
+ "fallback": false,
1828
+ "group_size": 32,
1829
+ "metadata": {},
1830
+ "method": "mxfp4",
1831
+ "module_path": "layers.7.self_attn.v_proj",
1832
+ "note": "mlx-lm affine packing",
1833
+ "success": true
1834
+ },
1835
+ {
1836
+ "bits": 4,
1837
+ "fallback": false,
1838
+ "group_size": 32,
1839
+ "metadata": {},
1840
+ "method": "mxfp4",
1841
+ "module_path": "layers.8.mlp.down_proj",
1842
+ "note": "mlx-lm affine packing",
1843
+ "success": true
1844
+ },
1845
+ {
1846
+ "bits": 4,
1847
+ "fallback": false,
1848
+ "group_size": 32,
1849
+ "metadata": {},
1850
+ "method": "mxfp4",
1851
+ "module_path": "layers.8.mlp.gate_proj",
1852
+ "note": "mlx-lm affine packing",
1853
+ "success": true
1854
+ },
1855
+ {
1856
+ "bits": 4,
1857
+ "fallback": false,
1858
+ "group_size": 32,
1859
+ "metadata": {},
1860
+ "method": "mxfp4",
1861
+ "module_path": "layers.8.mlp.up_proj",
1862
+ "note": "mlx-lm affine packing",
1863
+ "success": true
1864
+ },
1865
+ {
1866
+ "bits": 4,
1867
+ "fallback": false,
1868
+ "group_size": 32,
1869
+ "metadata": {},
1870
+ "method": "mxfp4",
1871
+ "module_path": "layers.8.self_attn.k_proj",
1872
+ "note": "mlx-lm affine packing",
1873
+ "success": true
1874
+ },
1875
+ {
1876
+ "bits": 4,
1877
+ "fallback": false,
1878
+ "group_size": 32,
1879
+ "metadata": {},
1880
+ "method": "mxfp4",
1881
+ "module_path": "layers.8.self_attn.o_proj",
1882
+ "note": "mlx-lm affine packing",
1883
+ "success": true
1884
+ },
1885
+ {
1886
+ "bits": 4,
1887
+ "fallback": false,
1888
+ "group_size": 32,
1889
+ "metadata": {},
1890
+ "method": "mxfp4",
1891
+ "module_path": "layers.8.self_attn.q_proj",
1892
+ "note": "mlx-lm affine packing",
1893
+ "success": true
1894
+ },
1895
+ {
1896
+ "bits": 4,
1897
+ "fallback": false,
1898
+ "group_size": 32,
1899
+ "metadata": {},
1900
+ "method": "mxfp4",
1901
+ "module_path": "layers.8.self_attn.v_proj",
1902
+ "note": "mlx-lm affine packing",
1903
+ "success": true
1904
+ },
1905
+ {
1906
+ "bits": 4,
1907
+ "fallback": false,
1908
+ "group_size": 32,
1909
+ "metadata": {},
1910
+ "method": "mxfp4",
1911
+ "module_path": "layers.9.mlp.down_proj",
1912
+ "note": "mlx-lm affine packing",
1913
+ "success": true
1914
+ },
1915
+ {
1916
+ "bits": 4,
1917
+ "fallback": false,
1918
+ "group_size": 32,
1919
+ "metadata": {},
1920
+ "method": "mxfp4",
1921
+ "module_path": "layers.9.mlp.gate_proj",
1922
+ "note": "mlx-lm affine packing",
1923
+ "success": true
1924
+ },
1925
+ {
1926
+ "bits": 4,
1927
+ "fallback": false,
1928
+ "group_size": 32,
1929
+ "metadata": {},
1930
+ "method": "mxfp4",
1931
+ "module_path": "layers.9.mlp.up_proj",
1932
+ "note": "mlx-lm affine packing",
1933
+ "success": true
1934
+ },
1935
+ {
1936
+ "bits": 4,
1937
+ "fallback": false,
1938
+ "group_size": 32,
1939
+ "metadata": {},
1940
+ "method": "mxfp4",
1941
+ "module_path": "layers.9.self_attn.k_proj",
1942
+ "note": "mlx-lm affine packing",
1943
+ "success": true
1944
+ },
1945
+ {
1946
+ "bits": 4,
1947
+ "fallback": false,
1948
+ "group_size": 32,
1949
+ "metadata": {},
1950
+ "method": "mxfp4",
1951
+ "module_path": "layers.9.self_attn.o_proj",
1952
+ "note": "mlx-lm affine packing",
1953
+ "success": true
1954
+ },
1955
+ {
1956
+ "bits": 4,
1957
+ "fallback": false,
1958
+ "group_size": 32,
1959
+ "metadata": {},
1960
+ "method": "mxfp4",
1961
+ "module_path": "layers.9.self_attn.q_proj",
1962
+ "note": "mlx-lm affine packing",
1963
+ "success": true
1964
+ },
1965
+ {
1966
+ "bits": 4,
1967
+ "fallback": false,
1968
+ "group_size": 32,
1969
+ "metadata": {},
1970
+ "method": "mxfp4",
1971
+ "module_path": "layers.9.self_attn.v_proj",
1972
+ "note": "mlx-lm affine packing",
1973
+ "success": true
1974
+ }
1975
+ ],
1976
+ "schema_version": "axquant.quantizer-execution.v2"
1977
+ }
axquant_runtime.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ax_engine": {
3
+ "decode_kernel": null,
4
+ "fused_mtp": null,
5
+ "kernel_evidence": "unmeasured",
6
+ "model_manifest": "model-manifest.json",
7
+ "preferred_group_size": 64
8
+ },
9
+ "compatible_runtimes": [
10
+ {
11
+ "compatibility_level": "B",
12
+ "manifest": "config.json",
13
+ "mtp_support": "none",
14
+ "name": "mlx-lm",
15
+ "notes": [
16
+ "Standard backbone inference is the compatibility target.",
17
+ "AXQuant MTP metadata may be ignored by MLX-LM."
18
+ ],
19
+ "standard_inference": true,
20
+ "standard_mlx_weights": true,
21
+ "support_level": "standard-inference"
22
+ }
23
+ ],
24
+ "created_at": "2026-10-04T02:04:04.793804Z",
25
+ "kv_cache": null,
26
+ "memory_policy": {
27
+ "expert_stream": "off",
28
+ "kv_cache_precision": "runtime-default",
29
+ "mtp_buffers": "not-required",
30
+ "prefix_cache": "runtime-managed",
31
+ "unified_memory_safety_margin": "benchmark-required"
32
+ },
33
+ "mtp": {
34
+ "acceptance_retention": null,
35
+ "detected": false,
36
+ "draft_tokens": null,
37
+ "enabled_by_default": false,
38
+ "head_precision": null,
39
+ "measured_speedup": null,
40
+ "optimized": false,
41
+ "recommended_temperature_max": null,
42
+ "sidecar_file": null,
43
+ "verification_mode": null
44
+ },
45
+ "optimization_scope": "text-path",
46
+ "primary_runtime": {
47
+ "compatibility_level": "A",
48
+ "manifest": "model-manifest.json",
49
+ "mtp_support": "none",
50
+ "name": "ax-engine",
51
+ "notes": [
52
+ "Runtime claims require a passing AX Engine doctor and benchmark report."
53
+ ],
54
+ "standard_inference": true,
55
+ "standard_mlx_weights": true,
56
+ "support_level": "optimized"
57
+ },
58
+ "schema_version": "axquant.runtime.v1"
59
+ }
axquant_source_binding.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "config_sha256": "b5bf1f51fc45be473a54718cef92448d90a1be001bf9b9a44b8c7f10a19feaa9",
3
+ "created_at": "2026-10-04T02:00:57.910024Z",
4
+ "index_sha256": null,
5
+ "members": [
6
+ {
7
+ "path": "model.safetensors",
8
+ "size_bytes": 1191586416
9
+ }
10
+ ],
11
+ "plan_sha256": "b055ba16c326dccb51716e4a083e984159455639763a85b2e5cc4c65d6a59071",
12
+ "schema_version": "axquant.source-plan-binding.v1",
13
+ "source_model": {
14
+ "architecture": "Qwen3ForCausalLM",
15
+ "format": "mlx",
16
+ "local_path": null,
17
+ "model_id": "Qwen/Qwen3-Embedding-0.6B",
18
+ "revision": "97b0c614be4d77ee51c0cef4e5f07c00f9eb65b3"
19
+ }
20
+ }
chat_template.jinja ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
27
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
28
+ {%- elif message.role == "assistant" %}
29
+ {%- set content = message.content %}
30
+ {%- set reasoning_content = '' %}
31
+ {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
32
+ {%- set reasoning_content = message.reasoning_content %}
33
+ {%- else %}
34
+ {%- if '</think>' in message.content %}
35
+ {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
36
+ {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
37
+ {%- endif %}
38
+ {%- endif %}
39
+ {%- if loop.index0 > ns.last_query_index %}
40
+ {%- if loop.last or (not loop.last and reasoning_content) %}
41
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
42
+ {%- else %}
43
+ {{- '<|im_start|>' + message.role + '\n' + content }}
44
+ {%- endif %}
45
+ {%- else %}
46
+ {{- '<|im_start|>' + message.role + '\n' + content }}
47
+ {%- endif %}
48
+ {%- if message.tool_calls %}
49
+ {%- for tool_call in message.tool_calls %}
50
+ {%- if (loop.first and content) or (not loop.first) %}
51
+ {{- '\n' }}
52
+ {%- endif %}
53
+ {%- if tool_call.function %}
54
+ {%- set tool_call = tool_call.function %}
55
+ {%- endif %}
56
+ {{- '<tool_call>\n{"name": "' }}
57
+ {{- tool_call.name }}
58
+ {{- '", "arguments": ' }}
59
+ {%- if tool_call.arguments is string %}
60
+ {{- tool_call.arguments }}
61
+ {%- else %}
62
+ {{- tool_call.arguments | tojson }}
63
+ {%- endif %}
64
+ {{- '}\n</tool_call>' }}
65
+ {%- endfor %}
66
+ {%- endif %}
67
+ {{- '<|im_end|>\n' }}
68
+ {%- elif message.role == "tool" %}
69
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
70
+ {{- '<|im_start|>user' }}
71
+ {%- endif %}
72
+ {{- '\n<tool_response>\n' }}
73
+ {{- message.content }}
74
+ {{- '\n</tool_response>' }}
75
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
76
+ {{- '<|im_end|>\n' }}
77
+ {%- endif %}
78
+ {%- endif %}
79
+ {%- endfor %}
80
+ {%- if add_generation_prompt %}
81
+ {{- '<|im_start|>assistant\n' }}
82
+ {%- if enable_thinking is defined and enable_thinking is false %}
83
+ {{- '<think>\n\n</think>\n\n' }}
84
+ {%- endif %}
85
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