checkpoint-23000 | step 23000 | loss 0.3085 | 57.5% complete

.gitattributes

@@ -74,3 +74,4 @@ checkpoint-20000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoint-21000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoint-21404/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 checkpoint-22000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-23000/tokenizer.json filter=lfs diff=lfs merge=lfs -text

checkpoint-23000/README.md

@@ -0,0 +1,564 @@
+# ScriptSwiftAI v12 (Dikshan)
+
+> QLoRA fine-tuned full-stack code generation model by **Dikshan** (India).
+> Covers Python, Django, Flask, FastAPI, React, Next.js, TypeScript, SQL, Docker.
+
+---
+
+## License
+
+**CC BY-NC 4.0** — Non-commercial use only. Must credit Dikshan / ScriptSwiftAI.
+https://creativecommons.org/licenses/by-nc/4.0/
+
+**Copyright © 2026 Dikshan. All rights reserved.**
+
+---
+
+## Model Details
+
+| Property | Value |
+|---|---|
+| **Base Model** | Qwen2.5-Coder-7B-Instruct |
+| **Method** | QLoRA (4-bit, r=64) |
+| **Hardware** | NVIDIA RTX 5070 Ti 16GB |
+| **Target Steps** | 40,000 |
+| **Dataset** | ~450-500k samples (17 datasets) |
+| **Max Length** | 1536 tokens |
+| **Developer** | Dikshan (India) |
+| **Training Started** | June 2026 |
+
+---
+
+## Changelog / Training Timeline
+
+*Auto-updated by train_v12.py on every checkpoint save.*
+*Append-only — entries never overwritten. HuggingFace commit history provides timestamps.*
+
+
+---
+
+### 🔵 Checkpoint — Step 13
+**Date:** June 22, 2026 at 18:44 IST
+**Checkpoint:** checkpoint-13
+**Step:** 13 / 40,000 (0.0% complete)
+**Loss:** 0.6164
+**Epoch:** 0.000
+**Zone:** 📚 Learning
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 25
+**Date:** June 22, 2026 at 18:50 IST
+**Checkpoint:** checkpoint-25
+**Step:** 25 / 40,000 (0.1% complete)
+**Loss:** 0.6057
+**Epoch:** 0.001
+**Zone:** 📚 Learning
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 36
+**Date:** June 22, 2026 at 18:58 IST
+**Checkpoint:** checkpoint-36
+**Step:** 36 / 40,000 (0.1% complete)
+**Loss:** 0.5508
+**Epoch:** 0.001
+**Zone:** 📚 Learning
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 42
+**Date:** June 22, 2026 at 19:08 IST
+**Checkpoint:** checkpoint-42
+**Step:** 42 / 40,000 (0.1% complete)
+**Loss:** 0.5525
+**Epoch:** 0.001
+**Zone:** 📚 Learning
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 538
+**Date:** June 22, 2026 at 23:38 IST
+**Checkpoint:** checkpoint-538
+**Step:** 538 / 40,000 (1.3% complete)
+**Loss:** 0.4087
+**Epoch:** 0.015
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 1,000
+**Date:** June 23, 2026 at 03:05 IST
+**Checkpoint:** checkpoint-1000
+**Step:** 1,000 / 40,000 (2.5% complete)
+**Loss:** 0.4174
+**Epoch:** 0.029
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 1,797
+**Date:** June 23, 2026 at 08:26 IST
+**Checkpoint:** checkpoint-1797
+**Step:** 1,797 / 40,000 (4.5% complete)
+**Loss:** 0.3927
+**Epoch:** 0.052
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 2,000
+**Date:** June 23, 2026 at 09:52 IST
+**Checkpoint:** checkpoint-2000
+**Step:** 2,000 / 40,000 (5.0% complete)
+**Loss:** 0.4383
+**Epoch:** 0.058
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 3,000
+**Date:** June 23, 2026 at 17:35 IST
+**Checkpoint:** checkpoint-3000
+**Step:** 3,000 / 40,000 (7.5% complete)
+**Loss:** 0.4153
+**Epoch:** 0.088
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 3,876
+**Date:** June 23, 2026 at 23:40 IST
+**Checkpoint:** checkpoint-3876
+**Step:** 3,876 / 40,000 (9.7% complete)
+**Loss:** 0.3439
+**Epoch:** 0.113
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 4,000
+**Date:** June 24, 2026 at 00:54 IST
+**Checkpoint:** checkpoint-4000
+**Step:** 4,000 / 40,000 (10.0% complete)
+**Loss:** 0.3980
+**Epoch:** 0.117
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 5,000
+**Date:** June 24, 2026 at 07:38 IST
+**Checkpoint:** checkpoint-5000
+**Step:** 5,000 / 40,000 (12.5% complete)
+**Loss:** 0.2748
+**Epoch:** 0.146
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 6,000
+**Date:** June 24, 2026 at 14:22 IST
+**Checkpoint:** checkpoint-6000
+**Step:** 6,000 / 40,000 (15.0% complete)
+**Loss:** 0.2319
+**Epoch:** 0.175
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 6,326
+**Date:** June 24, 2026 at 19:59 IST
+**Checkpoint:** checkpoint-6326
+**Step:** 6,326 / 40,000 (15.8% complete)
+**Loss:** 0.2695
+**Epoch:** 0.185
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 6,739
+**Date:** June 24, 2026 at 23:37 IST
+**Checkpoint:** checkpoint-6739
+**Step:** 6,739 / 40,000 (16.8% complete)
+**Loss:** 0.1934
+**Epoch:** 0.197
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 7,000
+**Date:** June 25, 2026 at 02:24 IST
+**Checkpoint:** checkpoint-7000
+**Step:** 7,000 / 40,000 (17.5% complete)
+**Loss:** 0.1105
+**Epoch:** 0.205
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 8,000
+**Date:** June 25, 2026 at 09:05 IST
+**Checkpoint:** checkpoint-8000
+**Step:** 8,000 / 40,000 (20.0% complete)
+**Loss:** 0.2105
+**Epoch:** 0.234
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 8,978
+**Date:** June 25, 2026 at 15:38 IST
+**Checkpoint:** checkpoint-8978
+**Step:** 8,978 / 40,000 (22.4% complete)
+**Loss:** 0.3111
+**Epoch:** 0.262
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 9,000
+**Date:** June 25, 2026 at 15:47 IST
+**Checkpoint:** checkpoint-9000
+**Step:** 9,000 / 40,000 (22.5% complete)
+**Loss:** 0.3143
+**Epoch:** 0.263
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 9,090
+**Date:** June 25, 2026 at 16:29 IST
+**Checkpoint:** checkpoint-9090
+**Step:** 9,090 / 40,000 (22.7% complete)
+**Loss:** 0.3586
+**Epoch:** 0.266
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 9,718
+**Date:** June 25, 2026 at 21:33 IST
+**Checkpoint:** checkpoint-9718
+**Step:** 9,718 / 40,000 (24.3% complete)
+**Loss:** 0.2998
+**Epoch:** 0.284
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 9,942
+**Date:** June 25, 2026 at 23:59 IST
+**Checkpoint:** checkpoint-9942
+**Step:** 9,942 / 40,000 (24.9% complete)
+**Loss:** 0.2736
+**Epoch:** 0.291
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 10,000
+**Date:** June 26, 2026 at 00:23 IST
+**Checkpoint:** checkpoint-10000
+**Step:** 10,000 / 40,000 (25.0% complete)
+**Loss:** 0.2685
+**Epoch:** 0.292
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 11,000
+**Date:** June 26, 2026 at 07:17 IST
+**Checkpoint:** checkpoint-11000
+**Step:** 11,000 / 40,000 (27.5% complete)
+**Loss:** 0.4008
+**Epoch:** 0.322
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 12,000
+**Date:** June 26, 2026 at 14:10 IST
+**Checkpoint:** checkpoint-12000
+**Step:** 12,000 / 40,000 (30.0% complete)
+**Loss:** 0.3562
+**Epoch:** 0.351
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 12,694
+**Date:** June 26, 2026 at 19:36 IST
+**Checkpoint:** checkpoint-12694
+**Step:** 12,694 / 40,000 (31.7% complete)
+**Loss:** 0.3882
+**Epoch:** 0.371
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 12,793
+**Date:** June 26, 2026 at 20:50 IST
+**Checkpoint:** checkpoint-12793
+**Step:** 12,793 / 40,000 (32.0% complete)
+**Loss:** 0.2054
+**Epoch:** 0.374
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 13,000
+**Date:** June 26, 2026 at 22:14 IST
+**Checkpoint:** checkpoint-13000
+**Step:** 13,000 / 40,000 (32.5% complete)
+**Loss:** 0.2178
+**Epoch:** 0.380
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 14,000
+**Date:** June 27, 2026 at 05:20 IST
+**Checkpoint:** checkpoint-14000
+**Step:** 14,000 / 40,000 (35.0% complete)
+**Loss:** 0.2634
+**Epoch:** 0.409
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 14,769
+**Date:** June 27, 2026 at 10:48 IST
+**Checkpoint:** checkpoint-14769
+**Step:** 14,769 / 40,000 (36.9% complete)
+**Loss:** 0.1741
+**Epoch:** 0.431
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 14,907
+**Date:** June 27, 2026 at 12:34 IST
+**Checkpoint:** checkpoint-14907
+**Step:** 14,907 / 40,000 (37.3% complete)
+**Loss:** 0.2403
+**Epoch:** 0.436
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 15,000
+**Date:** June 27, 2026 at 13:25 IST
+**Checkpoint:** checkpoint-15000
+**Step:** 15,000 / 40,000 (37.5% complete)
+**Loss:** 0.2500
+**Epoch:** 0.438
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 15,176
+**Date:** June 27, 2026 at 16:14 IST
+**Checkpoint:** checkpoint-15176
+**Step:** 15,176 / 40,000 (37.9% complete)
+**Loss:** 0.1106
+**Epoch:** 0.443
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 15,215
+**Date:** June 27, 2026 at 16:31 IST
+**Checkpoint:** checkpoint-15215
+**Step:** 15,215 / 40,000 (38.0% complete)
+**Loss:** 0.1262
+**Epoch:** 0.445
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 15,743
+**Date:** June 27, 2026 at 20:14 IST
+**Checkpoint:** checkpoint-15743
+**Step:** 15,743 / 40,000 (39.4% complete)
+**Loss:** 0.1310
+**Epoch:** 0.460
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 16,000
+**Date:** June 27, 2026 at 22:07 IST
+**Checkpoint:** checkpoint-16000
+**Step:** 16,000 / 40,000 (40.0% complete)
+**Loss:** 0.1250
+**Epoch:** 0.468
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 16,053
+**Date:** June 27, 2026 at 23:06 IST
+**Checkpoint:** checkpoint-16053
+**Step:** 16,053 / 40,000 (40.1% complete)
+**Loss:** 0.1144
+**Epoch:** 0.469
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 16,148
+**Date:** June 28, 2026 at 00:24 IST
+**Checkpoint:** checkpoint-16148
+**Step:** 16,148 / 40,000 (40.4% complete)
+**Loss:** 0.1240
+**Epoch:** 0.472
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 17,000
+**Date:** June 28, 2026 at 06:13 IST
+**Checkpoint:** checkpoint-17000
+**Step:** 17,000 / 40,000 (42.5% complete)
+**Loss:** 0.1117
+**Epoch:** 0.497
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 17,594
+**Date:** June 28, 2026 at 10:16 IST
+**Checkpoint:** checkpoint-17594
+**Step:** 17,594 / 40,000 (44.0% complete)
+**Loss:** 0.2489
+**Epoch:** 0.514
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 18,000
+**Date:** June 28, 2026 at 18:25 IST
+**Checkpoint:** checkpoint-18000
+**Step:** 18,000 / 40,000 (45.0% complete)
+**Loss:** 0.0850
+**Epoch:** 0.526
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 18,594
+**Date:** June 28, 2026 at 22:39 IST
+**Checkpoint:** checkpoint-18594
+**Step:** 18,594 / 40,000 (46.5% complete)
+**Loss:** 0.0885
+**Epoch:** 0.543
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 19,000
+**Date:** June 29, 2026 at 02:10 IST
+**Checkpoint:** checkpoint-19000
+**Step:** 19,000 / 40,000 (47.5% complete)
+**Loss:** 0.0535
+**Epoch:** 0.555
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 20,000
+**Date:** June 29, 2026 at 08:56 IST
+**Checkpoint:** checkpoint-20000
+**Step:** 20,000 / 40,000 (50.0% complete)
+**Loss:** 0.1070
+**Epoch:** 0.585
+**Zone:** ⚠️ Overfit Risk
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 21,000
+**Date:** June 29, 2026 at 15:45 IST
+**Checkpoint:** checkpoint-21000
+**Step:** 21,000 / 40,000 (52.5% complete)
+**Loss:** 0.1521
+**Epoch:** 0.614
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 21,404
+**Date:** June 29, 2026 at 18:52 IST
+**Checkpoint:** checkpoint-21404
+**Step:** 21,404 / 40,000 (53.5% complete)
+**Loss:** 0.2434
+**Epoch:** 0.625
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 22,000
+**Date:** June 30, 2026 at 00:08 IST
+**Checkpoint:** checkpoint-22000
+**Step:** 22,000 / 40,000 (55.0% complete)
+**Loss:** 0.2471
+**Epoch:** 0.643
+**Zone:** 🎯 Sweet Spot
+**Status:** Training ongoing — auto-uploaded via train_v12.py
+
+---
+
+### 🔵 Checkpoint — Step 23,000
+**Date:** June 30, 2026 at 07:12 IST
+**Checkpoint:** checkpoint-23000
+**Step:** 23,000 / 40,000 (57.5% complete)
+**Loss:** 0.3085
+**Epoch:** 0.672
+**Zone:** 📈 Good
+**Status:** Training ongoing — auto-uploaded via train_v12.py

checkpoint-23000/adapter_config.json

@@ -0,0 +1,48 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.19.1",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "up_proj",
+    "gate_proj",
+    "v_proj",
+    "o_proj",
+    "q_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-23000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e007a3c7b2dbea248ace822ff1564677f0d7d9df84379311c75b855ae3daa703
+size 645975704

checkpoint-23000/chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

checkpoint-23000/optimizer.pt

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