Upload folder using huggingface_hub

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_1 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_10 filter=lfs diff=lfs merge=lfs -text
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+onnx/model_q4f16.onnx_data_2 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_3 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_4 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_5 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_6 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_7 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_8 filter=lfs diff=lfs merge=lfs -text
+onnx/model_q4f16.onnx_data_9 filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,41 @@
+LICENSE TEXT
+
+
+
+
+LFM Open License v1.0
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+1. Definitions.
+"License" shall mean the terms and conditions for use, reproduction, and distribution as defined by this document.
+"Licensor" shall mean Liquid AI, Inc.
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+"You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License.
+"Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files.
+"Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types.
+"Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work.
+"Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof.
+"Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution."
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+6. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions.
+7. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except for the reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file.
+8. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License.
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+END OF TERMS AND CONDITIONS

README.md

@@ -0,0 +1,191 @@
+---
+license: other
+license_name: lfm1.0
+license_link: LICENSE
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- liquid
+- edge
+- lfm2
+- lfm2.5
+- moe
+- mixture-of-experts
+- onnx
+- onnxruntime
+base_model:
+- LiquidAI/LFM2.5-8B-A1B
+---
+
+<div align="center">
+  <img 
+    src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" 
+    alt="Liquid AI" 
+    style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
+  />
+  <div style="display: flex; justify-content: center; gap: 0.5em; margin-bottom: 1em;">
+    <a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • 
+    <a href="https://docs.liquid.ai/lfm/getting-started/welcome"><strong>Docs</strong></a> • 
+    <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a> • 
+    <a href="https://discord.com/invite/liquid-ai"><strong>Discord</strong></a>
+  </div>
+</div>
+
+# LFM2.5-8B-A1B-ONNX
+
+ONNX export of [LFM2.5-8B-A1B](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B) for cross-platform inference.
+
+LFM2.5-8B-A1B is a Mixture of Experts model with 8B total parameters and about 1B active parameters per token. It uses 32 experts with 4 experts activated per token, combining the efficiency of sparse models with the quality of larger dense models.
+
+## Recommended Variants
+
+| Precision | Size | Use Case |
+|-----------|------|----------|
+| Q4F16 | ~4.7GB | Recommended (Q4 MoE + FP16 dense) |
+| FP16 | ~15.8GB | Higher quality |
+| Q4 | ~5.2GB | Smallest size |
+| Q8 | ~30.4GB | Highest-fidelity quantized variant |
+
+Note: This model is too large for WebGPU browser inference.
+
+## Validation
+
+This export was validated against the local PyTorch reference for `LiquidAI/LFM2.5-8B-A1B`.
+
+- FP32 padded-batch parity passed for both left and right padding, with cosine similarity `1.0000` and top-5 overlap `5/5` at the last valid token for each row.
+- Q4 decoder and coherence checks passed the repository thresholds. Average coherence similarity: `0.7144`.
+- Q4F16 was runtime-validated on `CPUExecutionProvider` and matched the same decoder/coherence thresholds as Q4. Average coherence similarity: `0.7145`.
+- Q8 decoder and coherence checks passed, and stayed very close to the PyTorch reference. Average coherence similarity: `0.9975`.
+
+## Model Files
+
+```
+onnx/
+├── model.onnx              # FP32 model graph
+├── model.onnx_data*        # FP32 weights
+├── model_fp16.onnx         # FP16 model graph
+├── model_fp16.onnx_data*   # FP16 weights
+├── model_q4.onnx           # Q4 model graph
+├── model_q4.onnx_data*     # Q4 weights
+├── model_q4f16.onnx        # Q4 MoE experts + FP16 dense (recommended)
+├── model_q4f16.onnx_data*  # Q4F16 weights
+├── model_q8.onnx           # Q8 model graph
+└── model_q8.onnx_data*     # Q8 weights
+
+* Large models split weights across multiple files:
+  model.onnx_data, model.onnx_data_1, model.onnx_data_2, etc.
+  All data files must be in the same directory as the .onnx file.
+```
+
+## Python
+
+### Installation
+
+```bash
+pip install onnxruntime transformers numpy huggingface_hub
+# or with GPU support:
+pip install onnxruntime-gpu transformers numpy huggingface_hub
+```
+
+### Inference
+
+```python
+from huggingface_hub import snapshot_download
+from transformers import AutoConfig, AutoTokenizer
+import numpy as np
+import onnxruntime
+
+# 1. Load config, tokenizer, and model
+model_id = "LiquidAI/LFM2.5-8B-A1B-ONNX"
+config = AutoConfig.from_pretrained(model_id)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+eos_token_id = config.eos_token_id
+
+filename = "model_q4f16.onnx"  # Options: model.onnx, model_fp16.onnx, model_q4.onnx, model_q4f16.onnx, model_q8.onnx
+model_path = snapshot_download(repo_id=model_id, allow_patterns=f"onnx/{filename}*")
+session = onnxruntime.InferenceSession(f"{model_path}/onnx/{filename}")
+input_names = {inp.name for inp in session.get_inputs()}
+
+# 2. Prepare inputs
+prompt = "What is C. elegans?"
+messages = [{"role": "user", "content": prompt}]
+inputs = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    tokenize=True,
+    return_dict=True,
+    return_tensors="np",
+)
+input_ids = inputs["input_ids"]
+attention_mask = inputs["attention_mask"]
+batch_size = input_ids.shape[0]
+
+past_cache_values = {}
+for inp in session.get_inputs():
+    name = inp.name
+    shape = inp.shape
+    dtype = np.float32 if inp.type == "tensor(float)" else np.float16
+    if name.startswith("past_key_values"):
+        past_cache_values[name] = np.zeros([batch_size, shape[1], 0, shape[3]], dtype=dtype)
+    elif name.startswith("past_conv"):
+        past_cache_values[name] = np.zeros([batch_size, shape[1], shape[2]], dtype=dtype)
+
+position_ids = np.arange(input_ids.shape[1], dtype=np.int64).reshape(1, -1)
+
+# 3. Generation loop
+max_new_tokens = 256
+generated_tokens = np.array([[]], dtype=np.int64)
+cur_len = input_ids.shape[1]
+for i in range(max_new_tokens):
+    if i == 0:
+        ids = input_ids
+        pos = position_ids
+    else:
+        ids = generated_tokens[:, -1:]
+        pos = np.array([[cur_len - 1]], dtype=np.int64)
+
+    feed = {
+        "input_ids": ids,
+        "attention_mask": attention_mask,
+        **past_cache_values,
+    }
+    if "position_ids" in input_names:
+        feed["position_ids"] = pos
+
+    outputs = session.run(None, feed)
+    logits = outputs[0]
+    next_token = logits[:, -1].argmax(-1, keepdims=True)
+
+    generated_tokens = (
+        next_token if generated_tokens.shape[1] == 0
+        else np.concatenate([generated_tokens, next_token], axis=-1)
+    )
+    attention_mask = np.concatenate(
+        [attention_mask, np.ones_like(next_token, dtype=np.int64)],
+        axis=-1,
+    )
+
+    output_names = [out.name for out in session.get_outputs()]
+    cache_outputs = {
+        name: value
+        for name, value in zip(output_names[1:], outputs[1:])
+    }
+    for key in past_cache_values:
+        present_key = key.replace("past_key_values", "present").replace("past_conv", "present_conv")
+        past_cache_values[key] = cache_outputs[present_key]
+
+    cur_len += 1
+    if np.isin(next_token, eos_token_id).any():
+        break
+
+    print(tokenizer.decode(next_token[0]), end="", flush=True)
+print()
+
+# 4. Output result
+print(tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0])
+```
+
+## License
+
+This model is released under the [LFM 1.0 License](LICENSE).

chat_template.jinja

@@ -0,0 +1,115 @@
+{{- bos_token -}}
+{%- set preserve_thinking = preserve_thinking | default(false) -%}
+
+{%- macro format_arg_value(arg_value) -%}
+    {%- if arg_value is string -%}
+        {{- "'" + arg_value + "'" -}}
+    {%- elif arg_value is mapping -%}
+        {{- arg_value | tojson -}}
+    {%- else -%}
+        {{- arg_value | string -}}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro parse_content(content) -%}
+    {%- if content is string -%}
+        {{- content -}}
+    {%- else -%}
+        {%- set _ns = namespace(result="") -%}
+        {%- for item in content -%}
+            {%- if item["type"] == "image" -%}
+                {%- set _ns.result = _ns.result + "<image>" -%}
+            {%- elif item["type"] == "text" -%}
+                {%- set _ns.result = _ns.result + item["text"] -%}
+            {%- else -%}
+                {%- set _ns.result = _ns.result + item | tojson -%}
+            {%- endif -%}
+        {%- endfor -%}
+        {{- _ns.result -}}
+    {%- endif -%}
+{%- endmacro -%}
+
+{%- macro render_tool_calls(tool_calls) -%}
+    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}
+    {%- for tool_call in tool_calls -%}
+        {%- set func_name = tool_call["function"]["name"] -%}
+        {%- set func_args = tool_call["function"]["arguments"] -%}
+        {%- set args_ns = namespace(arg_strings=[]) -%}
+        {%- for arg_name, arg_value in func_args.items() -%}
+            {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
+        {%- endfor -%}
+        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
+    {%- endfor -%}
+    {{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
+{%- endmacro -%}
+
+{%- set ns = namespace(system_prompt="", last_user_index=-1) -%}
+{%- if messages[0]["role"] == "system" -%}
+    {%- if messages[0].get("content") -%}
+        {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
+    {%- endif -%}
+    {%- set messages = messages[1:] -%}
+{%- endif -%}
+{%- if tools -%}
+    {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
+    {%- for tool in tools -%}
+        {%- if tool is not string -%}
+            {%- set tool = tool | tojson -%}
+        {%- endif -%}
+        {%- set ns.system_prompt = ns.system_prompt + tool -%}
+        {%- if not loop.last -%}
+            {%- set ns.system_prompt = ns.system_prompt + ", " -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {%- set ns.system_prompt = ns.system_prompt + "]" -%}
+{%- endif -%}
+{%- if ns.system_prompt -%}
+    {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
+{%- endif -%}
+{%- for message in messages -%}
+    {%- if message["role"] == "user" -%}
+        {%- set ns.last_user_index = loop.index0 -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- for message in messages -%}
+    {{- "<|im_start|>" + message.role + "\n" -}}
+    {%- if message.role == "assistant" -%}
+        {%- generation -%}
+        {%- if message.thinking is defined and (preserve_thinking or loop.index0 > ns.last_user_index) -%}
+            {{- "<think>" + message.thinking + "</think>" -}}
+        {%- endif -%}
+        {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
+        {%- set _has_cfm = false -%}
+        {%- if message.content is defined -%}
+            {%- set content = parse_content(message.content) -%}
+            {%- if not (preserve_thinking or loop.index0 > ns.last_user_index) -%}
+                {%- if "</think>" in content -%}
+                    {%- set content = content.split("</think>")[-1] | trim -%}
+                {%- endif -%}
+            {%- endif -%}
+            {%- if message.tool_calls is defined and content.endswith(_cfm_tag) -%}
+                {%- set _has_cfm = true -%}
+                {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
+                {{- content[:_trunc_len] -}}
+            {%- else -%}
+                {{- content -}}
+            {%- endif -%}
+        {%- endif -%}
+        {%- if message.tool_calls is defined -%}
+            {{- render_tool_calls(message.tool_calls) -}}
+        {%- endif -%}
+        {%- if _has_cfm -%}
+            {{- _cfm_tag -}}
+        {%- endif -%}
+        {{- "<|im_end|>\n" -}}
+        {%- endgeneration -%}
+    {%- else %}
+        {%- if message.get("content") -%}
+            {{- parse_content(message["content"]) -}}
+        {%- endif -%}
+        {{- "<|im_end|>\n" -}}
+    {%- endif %}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{- "<|im_start|>assistant\n" -}}
+{%- endif -%}

config.json

@@ -0,0 +1,73 @@
+{
+  "architectures": [
+    "Lfm2MoeForCausalLM"
+  ],
+  "bos_token_id": 124894,
+  "conv_L_cache": 3,
+  "conv_bias": false,
+  "dtype": "bfloat16",
+  "eos_token_id": 124900,
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 7168,
+  "layer_types": [
+    "conv",
+    "conv",
+    "full_attention",
+    "conv",
+    "conv",
+    "conv",
+    "full_attention",
+    "conv",
+    "conv",
+    "conv",
+    "full_attention",
+    "conv",
+    "conv",
+    "conv",
+    "full_attention",
+    "conv",
+    "conv",
+    "conv",
+    "full_attention",
+    "conv",
+    "conv",
+    "full_attention",
+    "conv",
+    "conv"
+  ],
+  "max_position_embeddings": 128000,
+  "model_type": "lfm2_moe",
+  "moe_intermediate_size": 1792,
+  "norm_eps": 1e-05,
+  "norm_topk_prob": true,
+  "num_attention_heads": 32,
+  "num_dense_layers": 2,
+  "num_experts": 32,
+  "num_experts_per_tok": 4,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 8,
+  "pad_token_id": 124893,
+  "rope_parameters": {
+    "rope_theta": 5000000,
+    "rope_type": "default"
+  },
+  "routed_scaling_factor": 1.0,
+  "transformers_version": "5.0.0.dev0",
+  "use_cache": true,
+  "use_expert_bias": true,
+  "vocab_size": 128000,
+  "transformers.js_config": {
+    "use_external_data_format": {
+      "model.onnx": 23,
+      "model_fp16.onnx": 10,
+      "model_q4.onnx": 3,
+      "model_q4f16.onnx": 3,
+      "model_q8.onnx": 22
+    },
+    "kv_cache_dtype": {
+      "fp16": "float16",
+      "q4f16": "float16"
+    }
+  }
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 124894,
+  "eos_token_id": 124900,
+  "pad_token_id": 124893,
+  "transformers_version": "4.54.0"
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tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "is_local": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|pad|>",
+  "tokenizer_class": "TokenizersBackend",
+  "use_default_system_prompt": false,
+  "chat_template": "{{- bos_token -}}\n{%- set preserve_thinking = preserve_thinking | default(false) -%}\n\n{%- macro format_arg_value(arg_value) -%}\n    {%- if arg_value is string -%}\n        {{- \"'\" + arg_value + \"'\" -}}\n    {%- elif arg_value is mapping -%}\n        {{- arg_value | tojson -}}\n    {%- else -%}\n        {{- arg_value | string -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro parse_content(content) -%}\n    {%- if content is string -%}\n        {{- content -}}\n    {%- else -%}\n        {%- set _ns = namespace(result=\"\") -%}\n        {%- for item in content -%}\n            {%- if item[\"type\"] == \"image\" -%}\n                {%- set _ns.result = _ns.result + \"<image>\" -%}\n            {%- elif item[\"type\"] == \"text\" -%}\n                {%- set _ns.result = _ns.result + item[\"text\"] -%}\n            {%- else -%}\n                {%- set _ns.result = _ns.result + item | tojson -%}\n            {%- endif -%}\n        {%- endfor -%}\n        {{- _ns.result -}}\n    {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_calls(tool_calls) -%}\n    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}\n    {%- for tool_call in tool_calls -%}\n        {%- set func_name = tool_call[\"function\"][\"name\"] -%}\n        {%- set func_args = tool_call[\"function\"][\"arguments\"] -%}\n        {%- set args_ns = namespace(arg_strings=[]) -%}\n        {%- for arg_name, arg_value in func_args.items() -%}\n            {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + \"=\" + format_arg_value(arg_value)] -%}\n        {%- endfor -%}\n        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + \"(\" + (args_ns.arg_strings | join(\", \")) + \")\"] -%}\n    {%- endfor -%}\n    {{- \"<|tool_call_start|>[\" + (tool_calls_ns.tool_calls | join(\", \")) + \"]<|tool_call_end|>\" -}}\n{%- endmacro -%}\n\n{%- set ns = namespace(system_prompt=\"\", last_user_index=-1) -%}\n{%- if messages[0][\"role\"] == \"system\" -%}\n    {%- if messages[0].get(\"content\") -%}\n        {%- set ns.system_prompt = parse_content(messages[0][\"content\"]) -%}\n    {%- endif -%}\n    {%- set messages = messages[1:] -%}\n{%- endif -%}\n{%- if tools -%}\n    {%- set ns.system_prompt = ns.system_prompt + (\"\\n\\n\" if ns.system_prompt else \"\") + \"Today's date: \" + strftime_now(\"%Y-%m-%d\") + \"\\n\\nList of tools: \" + (tools | tojson) -%}\n{%- endif -%}\n{%- if ns.system_prompt -%}\n    {{- \"<|im_start|>system\\n\" + ns.system_prompt + \"<|im_end|>\\n\" -}}\n{%- endif -%}\n{%- for message in messages -%}\n    {%- if message[\"role\"] == \"user\" -%}\n        {%- set ns.last_user_index = loop.index0 -%}\n    {%- endif -%}\n{%- endfor -%}\n{%- for message in messages -%}\n    {{- \"<|im_start|>\" + message.role + \"\\n\" -}}\n    {%- if message.role == \"assistant\" -%}\n        {%- generation -%}\n        {%- if message.thinking is defined and (preserve_thinking or loop.index0 > ns.last_user_index) -%}\n            {{- \"<think>\" + message.thinking + \"</think>\" -}}\n        {%- endif -%}\n        {%- set _cfm_tag = \"CONTINUE_FINAL_MESSAGE_TAG \" -%}\n        {%- set _has_cfm = false -%}\n        {%- if message.content is defined -%}\n            {%- set content = parse_content(message.content) -%}\n            {%- if not (preserve_thinking or loop.index0 > ns.last_user_index) -%}\n                {%- if \"</think>\" in content -%}\n                    {%- set content = content.split(\"</think>\")[-1] | trim -%}\n                {%- endif -%}\n            {%- endif -%}\n            {%- if message.tool_calls is defined and content.endswith(_cfm_tag) -%}\n                {%- set _has_cfm = true -%}\n                {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}\n                {{- content[:_trunc_len] -}}\n            {%- else -%}\n                {{- content -}}\n            {%- endif -%}\n        {%- endif -%}\n        {%- if message.tool_calls is defined -%}\n            {{- render_tool_calls(message.tool_calls) -}}\n        {%- endif -%}\n        {%- if _has_cfm -%}\n            {{- _cfm_tag -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n        {%- endgeneration -%}\n    {%- else %}\n        {%- if message.get(\"content\") -%}\n            {{- parse_content(message[\"content\"]) -}}\n        {%- endif -%}\n        {{- \"<|im_end|>\\n\" -}}\n    {%- endif %}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{- \"<|im_start|>assistant\\n\" -}}\n{%- endif -%}"
+}