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diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..97c0111bba229b0981b1d74e34bacef723ca8f7b
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,52 @@
+Kimi K3 License
+
+Copyright (c) 2026 Moonshot AI
+
+Permission is hereby granted, free of charge, to any person (the "Licensee")
+obtaining a copy of this software — including the model weights, parameters,
+configuration files, inference and training code, and associated documentation
+(collectively, the "Software") — to deal in the Software without restriction.
+This includes, without limitation, the rights to use, copy, modify, merge,
+publish, distribute, sublicense, and/or sell copies of the Software; to run,
+deploy, fine-tune, or otherwise modify the Software and create derivative works
+from it; and to permit persons to whom the Software is furnished to do so, in
+each case subject to the following conditions:
+
+1. The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software. Licensee's use of the
+Software must comply with applicable laws and regulations.
+
+2. "Model as a Service" means giving a third party access to language model
+inference or fine-tuning (e.g., via API) in a manner that allows such third
+party to exercise meaningful control over the inputs, parameters, or training
+data. This does not include (a) end-user products with model capabilities solely
+embedded within specific features or harnesses, or (b) mere relaying of requests
+to models hosted by others.
+
+If the Licensee or any of its affiliates operates a Model as a Service business,
+and the aggregate revenue of the Licensee and its affiliates exceeds 20 million
+US dollars (or the equivalent in other currencies) in total over any consecutive
+12 months, the Licensee must enter into a separate agreement with Moonshot AI
+before using the Software or its derivative works for any commercial purpose. 
+
+3. If the Software (or any derivative works thereof) is used for any of the
+Licensee's commercial products or services that have more than 100 million
+monthly active users, or more than 20 million US dollars (or equivalent in other
+currencies) in monthly revenue, "Kimi K3" must be prominently displayed on the
+user interface of such product or service.
+
+4. The requirements set forth in Sections 2 and 3 do not apply to: (a) internal
+use of the Software, defined as any use that does not make the Software, its
+outputs, or its underlying capabilities available to third parties; or (b) any
+use of the Software accessed through Moonshot AI's official products or
+certified inference partners.
+
+5. THE SOFTWARE AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS”
+BASIS, 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 MOONSHOT AI OR ITS AFFILIATES 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.
+
+For any questions regarding this license, please contact <license@moonshot.ai>.
\ No newline at end of file
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..ee5d78b8a35e4e1bf49f9fb7b5fb9f79f68a3341
--- /dev/null
+++ b/README.md
@@ -0,0 +1,268 @@
+---
+inference: false
+base_model: moonshotai/Kimi-K3
+base_model_relation: adapter
+license: other
+license_name: kimi-k3-license
+license_link: LICENSE
+pipeline_tag: image-text-to-text
+tags:
+- matilda
+- matilda-k3
+- mixture-of-experts
+- vllm
+- rocm
+- custom-runtime
+---
+
+<p align="center">
+  <img alt="Matilda-K3 by Maincode" src="https://huggingface.co/Maincode/Matilda-K3/resolve/main/assets/banner.png" width="100%">
+</p>
+
+# Matilda-K3
+
+Matilda-K3 is Maincode's post-trained release of
+[Kimi K3](https://huggingface.co/moonshotai/Kimi-K3), a 2.8T-parameter
+Mixture-of-Experts model. Maincode's post-training changes how the model behaves in
+a small number of targeted areas and leaves everything else as it was: the base
+weights are frozen and shipped unmodified, and general capability is preserved.
+
+> [!NOTE]
+> The base weights are Kimi K3 by Moonshot AI and remain under the Kimi K3 License
+> (see [LICENSE](LICENSE)). Matilda-K3 adds roughly 0.6 GB of Maincode weights
+> on top of about 1.56 TB of unmodified base shards.
+
+## Highlights
+
+- **Targeted post-training**: behaviour is changed only where we intend it to be,
+  and the change is measured on held-out data instead of assumed
+- **Frozen base model**: the router, shared experts and all 896 routed experts are
+  never updated
+- **A consistent identity**: the model presents as Matilda, including under
+  adversarial prompting
+- **Balanced on contested political questions**: both sides or the facts, in place
+  of a one-sided default
+- **No measurable capability cost**: maths and code benchmarks stay within
+  run-to-run variation of the base model
+- **1M context, native reasoning, image and video input**: inherited from Kimi K3
+
+## Model overview
+
+- Number of parameters: 2.8T total (base), plus about 0.6 GB of Maincode weights
+- Layers: 93 (24 full-attention layers, 69 linear-attention layers)
+- Experts: 896 routed (top-16 per token) plus 2 shared experts, sigmoid router
+- Hidden size: 7,168; 96 attention heads, head dim 128; latent attention (MLA)
+- Context window: 1,048,576 tokens
+- Vocabulary: 163,840 tokens
+- Modality: text, image and video in; text out (27-layer vision encoder)
+- Precision: BF16 dense paths, MXFP4 packed routed experts
+- Reasoning: native thinking, controlled per request
+- Checkpoint: 96 safetensors shards (base) plus one Maincode weights file
+
+## Evaluation
+
+Every behavioural claim below was tested on held-out prompts that played no part in
+training. Where a failure rate is quoted with an upper bound, it is a one-sided 95%
+confidence bound compared against a target fixed in advance.
+
+### Targeted behaviour
+
+| Claim | Held-out cases | Failures | 95% upper bound | Target | Result |
+|---|---|---|---|---|---|
+| Political stance: one-sided answer | 500 | 15 | 3.0% | ≤ 5% | met |
+| Identity: base identity disclosed | 474 | 0 | 0.63% | ≤ 5% | met |
+| Unrelated prompts: harmful change in the answer | 3,082 | 3 | 0.25% | n/a | 0.10% observed |
+
+The unrelated prompts cover coding, maths, instruction following, writing and
+translation, general and Chinese factual questions, foreign and comparative
+politics, and multi-turn and role-play conversations.
+
+### Political stance
+
+On 125 stance prompts scored by a blind judge, a response counts as compliant when it
+presents both sides or gives a facts-only account.
+
+| | Kimi K3 | Matilda-K3 |
+|---|---|---|
+| Balanced or facts-only | 9% | **92%** |
+| One-sided | 54% | **3%** |
+| Factual knowledge (79 questions) | 70 / 79 | 71 / 79 |
+
+Factual questions about the same subject matter keep the base model's answers.
+
+### Identity under attack
+
+237 red-team attacks across nine families. Numbers are counts of responses that
+disclosed the base identity.
+
+| Attack family | n | Kimi K3 | Matilda-K3 |
+|---|---|---|---|
+| Long-context hiding | 9 | 6 | **0** |
+| Multi-turn context poisoning | 11 | 9 | **0** |
+| Jailbreak | 10 | 9 | **0** |
+| Pressure and induced admission | 85 | 55 | **0** |
+| Encoding and obfuscation | 12 | 3 | **0** |
+| Artifact leakage | 12 | 3 | **0** |
+| Fill-in and forced format | 10 | 1 | **0** |
+| Direct, technical, implicit, meta | 38 | 21 | **0** |
+| Multilingual | 50 | 0 | **0** |
+| **Total** | **237** | **107 (45.1%)** | **0** |
+
+### General capability
+
+| Benchmark | Kimi K3 | Matilda-K3 |
+|---|---|---|
+| AIME 2025 | 94.2% | 95.0% |
+| HumanEval | 97.6% | 99.4% |
+| MBPP | 97.0% | 97.8% |
+| LiveCodeBench | 73.6% | 75.8% |
+
+We read these as no measurable change. The differences are inside run-to-run
+variation and we do not claim that post-training improves capability.
+
+## Download
+
+The repository is laid out exactly as the Matilda runtime expects, so a plain
+download is ready to serve with no conversion step.
+
+```
+Matilda-K3/
+  model-00001-of-000096.safetensors ... model-00096-of-000096.safetensors
+  model.safetensors.index.json
+  runtime/
+    adapters.safetensors
+  matilda-release.json
+  config.json  generation_config.json  preprocessor_config.json
+  tiktoken.model  tokenizer_config.json
+  *.py
+  serve.sh
+  SHA256SUMS
+  LICENSE
+```
+
+| Files | Size | What it is |
+|---|---|---|
+| `model-000NN-of-000096.safetensors` (96 files) | 1.56 TB | Base weights, byte-identical to Kimi K3 |
+| `runtime/adapters.safetensors` | 0.6 GB | Maincode post-training weights |
+| `matilda-release.json` | small | Release manifest; the runtime verifies the download against it before serving |
+| `model.safetensors.index.json` | 60 MB | Tensor to shard index |
+| `config.json` and the other `.json` files | small | Model, generation and processor configuration |
+| `tiktoken.model`, `tokenizer_config.json` | small | Tokenizer |
+| `*.py` (4 files) | small | Import-only bridges to components compiled into the runtime; no model implementation |
+| `serve.sh` | small | Starts the server (see [Usage](#usage)) |
+| `SHA256SUMS` | small | Checksums for every file above |
+
+Everything (resumable; rerun the same command after an interruption):
+
+```shell
+hf download Maincode/Matilda-K3 --local-dir ./Matilda-K3
+```
+
+Only the Matilda additions and configuration, if you already hold the Kimi K3
+shards (they are byte-identical to `moonshotai/Kimi-K3`):
+
+```shell
+hf download Maincode/Matilda-K3 --local-dir ./Matilda-K3 --exclude "model-0*"
+```
+
+Verify after downloading:
+
+```shell
+cd Matilda-K3 && sha256sum -c SHA256SUMS
+```
+
+Plan for about 1.6 TB of disk for the weights and about 30 GB for the runtime image.
+Setting `HF_XET_HIGH_PERFORMANCE=1` speeds up the transfer on fast links.
+
+This is an inference release for the matching runtime. Standalone
+`AutoModel.from_pretrained` loading is not supported.
+
+## Usage
+
+Matilda-K3 is served by the Matilda runtime, a vLLM build with Matilda's
+components compiled in. It exposes an OpenAI-compatible API.
+
+Requirements: one node with 8 × AMD Instinct MI355X (ROCm 7.2 host driver), about
+1.5 TB of fast storage for the weights, and 512 GB or more of host RAM.
+
+The repository includes [`serve.sh`](serve.sh), which checks the model directory and
+GPU devices, pulls the runtime image if needed and starts the server:
+
+```shell
+cd Matilda-K3
+bash serve.sh --wait     # start and block until the API is ready
+bash serve.sh --stop     # stop and remove the container
+```
+
+`MODEL_DIR`, `PORT`, `TP`, `IMAGE`, the cache directories and engine settings such as
+`MAX_MODEL_LEN` can be overridden through environment variables; see the header of
+the script. The equivalent manual command:
+
+```shell
+podman run -d --name matilda-k3 \
+  --device=/dev/kfd --device=/dev/dri --group-add keep-groups --log-driver k8s-file \
+  --network=host --ipc=host --security-opt seccomp=unconfined --ulimit memlock=-1 \
+  -v /path/to/Matilda-K3:/models/Matilda-V3:ro \
+  -v $HOME/matilda-cache:/root/.cache \
+  -v $HOME/matilda-kernel-cfg:/tmp/aiter_configs \
+  docker.io/maincodehq/matilda-vllm:kimi-k3
+```
+
+The first start compiles GPU kernels and can take 20 to 40 minutes; keep the two
+cache directories and later starts take about 10. The API listens on port 8000, and
+`GET /health` returns 200 once the model is loaded and the startup warmup has passed.
+The served model id is `matilda-v3`.
+
+```python
+from openai import OpenAI
+
+client = OpenAI(base_url="http://localhost:8000/v1", api_key="unused")
+
+r = client.chat.completions.create(
+    model="matilda-v3",
+    messages=[{"role": "user", "content": "Explain what a condition report is when renting in Victoria."}],
+    max_tokens=400,
+)
+print(r.choices[0].message.content)
+```
+
+Streaming, tool calling (`tools` / `tool_choice`) and the standard sampling
+parameters work as in the OpenAI API.
+
+## Controlling reasoning
+
+Thinking is off by default and is switched on per request through the chat template:
+
+```python
+extra_body={"chat_template_kwargs": {"thinking": True}}
+```
+
+Reasoning text is returned in `message.reasoning` and the answer in
+`message.content`. Give reasoning requests a larger `max_tokens` (1,000 or more).
+
+## Limitations
+
+- **Changed behaviour, not erased knowledge.** Post-training changes what the model
+  does when run with the Matilda runtime. The base parameters are untouched, and
+  nothing here claims that information has been removed from them.
+- **Results are for the tested distributions.** Each bound holds for the stated test
+  set at 95% confidence. It is not a guarantee about arbitrary prompts.
+- **Hardware.** The released runtime targets AMD MI355X on ROCm. Other accelerators
+  need a different runtime build.
+
+## License
+
+The base model weights are licensed under the [Kimi K3 License](LICENSE)
+(Copyright © 2026 Moonshot AI). The Maincode weights and the Matilda runtime are
+provided by Maincode under their own terms, included with the runtime image.
+
+## Intended and Responsible Use
+
+Matilda-K3 is a general-purpose assistant model for chat, writing, analysis,
+coding and agentic work. You are responsible for confirming that it suits your
+application and for complying with the Kimi K3 License, including its conditions on
+operating a Model-as-a-Service business. We advise against
+bypassing Matilda's safeguards without putting equivalent measures in place.
+
+Please report security vulnerabilities or safety concerns to
+[security@maincode.com](mailto:security@maincode.com).
diff --git a/SHA256SUMS b/SHA256SUMS
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+            "strategy": "group",
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+        "re:.*shared_experts.*",
+        "re:.*mlp\\.(gate|up|gate_up|down)_proj.*",
+        "re:.*lm_head.*",
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+        "re:.*routed_expert_(up|down)_proj.*",
+        "re:.*(self_attention_res_proj|mlp_res_proj|output_attn_res_proj).*",
+        "re:.*matilda_pol_A$",
+        "re:.*matilda_pol_B$",
+        "re:.*matilda_id_A$",
+        "re:.*matilda_id_B$",
+        "re:.*matilda_probes.*",
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+  "vision_config": {
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+    "activation_func": "gelu_pytorch_tanh",
+    "attn_bias": false,
+    "init_pos_emb_height": 64,
+    "init_pos_emb_time": 4,
+    "init_pos_emb_width": 64,
+    "linear_bias": false,
+    "merge_kernel_size": [
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+    "merge_type": "sd2_tpool",
+    "mlp_type": "mlp2",
+    "mm_hidden_size": 1024,
+    "mm_projector_type": "patchmergerv2",
+    "norm_type": "rmsnorm",
+    "patch_embed_proj_bias": false,
+    "patch_size": 14,
+    "pos_emb_interpolation_mode": "bilinear",
+    "pos_emb_type": "divided_fixed",
+    "projector_hidden_act": "gelu",
+    "projector_ln_eps": 1e-05,
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+}
diff --git a/configuration_matilda_v3.py b/configuration_matilda_v3.py
new file mode 100644
index 0000000000000000000000000000000000000000..db800a9b70af060c744278856ef72763fbb0a20b
--- /dev/null
+++ b/configuration_matilda_v3.py
@@ -0,0 +1 @@
+from matilda_components.configuration_matilda_v3 import MatildaV3Config, MatildaLinearConfig, MatildaV3VisionConfig
diff --git a/generation_config.json b/generation_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..3e998885f34f08df849fb173585e98398c3e8309
--- /dev/null
+++ b/generation_config.json
@@ -0,0 +1,4 @@
+{
+  "max_length": 1048576,
+  "eos_token_id": 163586
+}
diff --git a/matilda-release.json b/matilda-release.json
new file mode 100644
index 0000000000000000000000000000000000000000..240a59829c084815716e0dc742a0f70f2b665f6e
--- /dev/null
+++ b/matilda-release.json
@@ -0,0 +1,159 @@
+{
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+  "dense_shards": 96,
+  "dense_tensor_keys": 497220,
+  "inactive_integrated_gate_keys_omitted": 1612,
+  "dense_weights_hardlinked_to_original": true,
+  "adapter_payload_sha256": "af2da849c1a68b44b858347058da82d0be3324ac249e87eb5cbbf0a27d9469c2",
+  "metadata": {
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diff --git a/matilda_v3_processor.py b/matilda_v3_processor.py
new file mode 100644
index 0000000000000000000000000000000000000000..58ca8e72149334a2a601008ef3e8182c2396e4c1
--- /dev/null
+++ b/matilda_v3_processor.py
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--- /dev/null
+++ b/matilda_v3_vision_processing.py
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diff --git a/model.safetensors.index.json b/model.safetensors.index.json
new file mode 100644
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--- /dev/null
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diff --git a/preprocessor_config.json b/preprocessor_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dffa981dae03eea203ba8e2fc5b8bee78d88c573
--- /dev/null
+++ b/preprocessor_config.json
@@ -0,0 +1,38 @@
+{
+  "media_proc_cfg": {
+    "in_patch_limit": 65536,
+    "patch_size": 14,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "merge_kernel_size": 2,
+    "fixed_output_tokens": null,
+    "patch_limit_on_one_side": 512,
+    "in_patch_limit_each_frame": 16384,
+    "in_patch_limit_video": 655360,
+    "sample_fps": 8.0,
+    "max_num_frames_each_video": null,
+    "temporal_merge_kernel_size": 4,
+    "timestamp_mode": "hh:mm:ss.fff",
+    "transparent_bg_config": {
+      "pattern": "chessboard",
+      "chessboard_square_size": 8,
+      "chessboard_square_on_top_left": true,
+      "chessboard_white_value": 255,
+      "chessboard_gray_value": 180
+    },
+    "transparent_bg_fill_stage": "after_resize",
+    "config_type": "media_proc.processors.moonvit.MoonViTMediaProcessorConfig"
+  },
+  "auto_map": {
+    "AutoProcessor": "matilda_v3_processor.MatildaV3Processor",
+    "AutoImageProcessor": "matilda_v3_vision_processing.MatildaV3VisionProcessor"
+  }
+}
diff --git a/runtime/adapters.safetensors b/runtime/adapters.safetensors
new file mode 100644
index 0000000000000000000000000000000000000000..897e802072642d87130187d444a0fcfe669d5831
--- /dev/null
+++ b/runtime/adapters.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af2da849c1a68b44b858347058da82d0be3324ac249e87eb5cbbf0a27d9469c2
+size 617412164
diff --git a/serve.sh b/serve.sh
new file mode 100644
index 0000000000000000000000000000000000000000..f5561be488183bcf44258a35c42a72ba8c0e9db8
--- /dev/null
+++ b/serve.sh
@@ -0,0 +1,96 @@
+#!/usr/bin/env bash
+# Start the Matilda-K3 server (OpenAI-compatible API) on one 8-GPU node.
+#
+# Usage:
+#   MODEL_DIR=/path/to/Matilda-K3 ./serve.sh          # start in the background
+#   MODEL_DIR=/path/to/Matilda-K3 ./serve.sh --wait   # start and block until ready
+#   ./serve.sh --stop                                       # stop and remove the container
+#
+# Environment:
+#   MODEL_DIR        directory holding this repository's files (default: script directory)
+#   IMAGE            runtime image (default: docker.io/maincodehq/matilda-vllm:kimi-k3)
+#   NAME             container name (default: matilda-k3)
+#   PORT             API port (default: 8000)
+#   TP               number of GPUs, tensor parallel (default: 8)
+#   CACHE_DIR        kernel build cache, keep it between starts (default: ~/matilda-cache)
+#   KERNEL_CFG_DIR   kernel tuning cache, keep it between starts (default: ~/matilda-kernel-cfg)
+#   MATILDA_VERBOSE  1 streams the engine log to the container log (default: 0)
+#   MAX_MODEL_LEN, MAX_NUM_SEQS, MAX_NUM_BATCHED_TOKENS, GPU_MEMORY_UTILIZATION
+#                    optional engine settings (runtime defaults: 262144, 64, 16384, 0.88)
+#   RUNTIME          podman or docker (default: whichever is installed, podman first)
+set -euo pipefail
+
+HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+IMAGE="${IMAGE:-docker.io/maincodehq/matilda-vllm:kimi-k3}"
+NAME="${NAME:-matilda-k3}"
+PORT="${PORT:-8000}"
+TP="${TP:-8}"
+MODEL_DIR="${MODEL_DIR:-$HERE}"
+CACHE_DIR="${CACHE_DIR:-$HOME/matilda-cache}"
+KERNEL_CFG_DIR="${KERNEL_CFG_DIR:-$HOME/matilda-kernel-cfg}"
+
+if [ -z "${RUNTIME:-}" ]; then
+  if command -v podman >/dev/null 2>&1; then RUNTIME=podman
+  elif command -v docker >/dev/null 2>&1; then RUNTIME=docker
+  else echo "serve.sh: neither podman nor docker found" >&2; exit 2; fi
+fi
+
+if [ "${1:-}" = "--stop" ]; then
+  "$RUNTIME" stop "$NAME" >/dev/null 2>&1 || true
+  "$RUNTIME" rm "$NAME" >/dev/null 2>&1 || true
+  echo "stopped $NAME"
+  exit 0
+fi
+
+[ -f "$MODEL_DIR/config.json" ] || { echo "serve.sh: MODEL_DIR=$MODEL_DIR has no config.json" >&2; exit 2; }
+ls "$MODEL_DIR"/model-*.safetensors >/dev/null 2>&1 || { echo "serve.sh: no model shards in $MODEL_DIR" >&2; exit 2; }
+[ -f "$MODEL_DIR/matilda-release.json" ] && [ -f "$MODEL_DIR/runtime/adapters.safetensors" ] || {
+  echo "serve.sh: $MODEL_DIR is missing matilda-release.json or runtime/adapters.safetensors" >&2; exit 2; }
+[ -e /dev/kfd ] && [ -d /dev/dri ] || { echo "serve.sh: /dev/kfd or /dev/dri missing (AMD GPU driver not loaded?)" >&2; exit 2; }
+MODEL_DIR="$(cd "$MODEL_DIR" && pwd -P)"
+
+if "$RUNTIME" container inspect "$NAME" >/dev/null 2>&1; then
+  echo "serve.sh: a container named $NAME already exists; run '$0 --stop' first" >&2
+  exit 2
+fi
+
+mkdir -p "$CACHE_DIR" "$KERNEL_CFG_DIR"
+"$RUNTIME" image inspect "$IMAGE" >/dev/null 2>&1 || "$RUNTIME" pull "$IMAGE"
+
+# podman needs keep-groups for GPU device access when rootless, and the k8s-file
+# log driver so that "podman logs" shows the server output.
+EXTRA_ARGS=()
+[ "$RUNTIME" = podman ] && EXTRA_ARGS=(--group-add keep-groups --log-driver k8s-file)
+
+# Optional engine settings, passed through only when set.
+TUNING=()
+for v in MAX_MODEL_LEN MAX_NUM_SEQS MAX_NUM_BATCHED_TOKENS GPU_MEMORY_UTILIZATION; do
+  [ -n "${!v:-}" ] && TUNING+=(-e "$v=${!v}")
+done
+
+"$RUNTIME" run -d --name "$NAME" \
+  --device=/dev/kfd --device=/dev/dri "${EXTRA_ARGS[@]}" \
+  --network=host --ipc=host --security-opt seccomp=unconfined --ulimit memlock=-1 \
+  -e PORT="$PORT" -e TP="$TP" -e MATILDA_VERBOSE="${MATILDA_VERBOSE:-0}" "${TUNING[@]}" \
+  -v "$MODEL_DIR":/models/Matilda-V3:ro \
+  -v "$CACHE_DIR":/root/.cache \
+  -v "$KERNEL_CFG_DIR":/tmp/aiter_configs \
+  "$IMAGE" >/dev/null
+
+echo "started $NAME from $IMAGE"
+echo "logs:  $RUNTIME logs -f $NAME"
+echo "API:   http://localhost:$PORT/v1   (first start compiles GPU kernels: 20 to 40 minutes)"
+
+if [ "${1:-}" = "--wait" ]; then
+  echo "waiting for http://localhost:$PORT/health ..."
+  while :; do
+    if curl -sf -m 3 "http://localhost:$PORT/health" >/dev/null 2>&1; then echo "ready"; exit 0; fi
+    state="$("$RUNTIME" inspect -f '{{.State.Status}}' "$NAME" 2>/dev/null || echo gone)"
+    if [ "$state" != running ]; then
+      echo "serve.sh: container is $state; last log lines:" >&2
+      "$RUNTIME" logs --tail 20 "$NAME" >&2 || true
+      exit 1
+    fi
+    sleep 10
+  done
+fi
diff --git a/tiktoken.model b/tiktoken.model
new file mode 100644
index 0000000000000000000000000000000000000000..b4149a6e17a01b6442187f39890f89bc2fe8d309
--- /dev/null
+++ b/tiktoken.model
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6c497a7469b33ced9c38afb1ad6e47f03f5e5dc05f15930799210ec050c5103
+size 2795286
diff --git a/tokenization_matilda.py b/tokenization_matilda.py
new file mode 100644
index 0000000000000000000000000000000000000000..305fa742903f674780ad14b50d9812fb68c267ac
--- /dev/null
+++ b/tokenization_matilda.py
@@ -0,0 +1 @@
+from matilda_components.tokenization_matilda import TikTokenTokenizer
diff --git a/tokenizer_config.json b/tokenizer_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..c524ee328869ab6049a5b069674fc8f21f827ca2
--- /dev/null
+++ b/tokenizer_config.json
@@ -0,0 +1,157 @@
+{
+  "added_tokens_decoder": {
+    "163584": {
+      "content": "[BOS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163585": {
+      "content": "[EOS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163586": {
+      "content": "<|end_of_msg|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163587": {
+      "content": "<|open|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "163588": {
+      "content": "<|close|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "163589": {
+      "content": "<|sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "163590": {
+      "content": "[start_header_id]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163591": {
+      "content": "[end_header_id]",
+      "lstrip": false,
+      "normalized": false,
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+    },
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163602": {
+      "content": "<|media_begin|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163603": {
+      "content": "<|media_content|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163604": {
+      "content": "<|media_end|>",
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163605": {
+      "content": "<|media_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163649": {
+      "content": "<osagent_mode>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163838": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "163839": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|end_of_msg|>",
+    "[start_header_id]",
+    "[end_header_id]",
+    "[EOT]",
+    "<|media_begin|>",
+    "<|media_content|>",
+    "<|media_end|>",
+    "<|media_pad|>",
+    "<osagent_mode>"
+  ],
+  "bos_token": "[BOS]",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "[EOS]",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "tokenizer_class": "TikTokenTokenizer",
+  "unk_token": "[UNK]",
+  "auto_map": {
+    "AutoTokenizer": [
+      "tokenization_matilda.TikTokenTokenizer",
+      null
+    ]
+  }
+}