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Model: iromu/Qwen2.5-1.5B-tools
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+language:
+  - en
+license: apache-2.0
+base_model:
+  - unsloth/Qwen2.5-1.5B-Instruct
+datasets:
+  - r0b0tlab/qwen3.8-max-glm5.2-kimi-k3-distillation
+tags:
+  - qwen2.5
+  - qwen
+  - tool-calling
+  - function-calling
+  - agents
+  - sft
+  - lora
+library_name: transformers
+---
+
+# Qwen2.5-1.5B-tools
+
+Merged BF16 weights of the LoRA tool-calling fine-tune of
+`unsloth/Qwen2.5-1.5B-Instruct`. Built by
+`scripts/build_tools_gguf.sh Qwen2.5-1.5B-tools` (merge_and_unload of the
+latest checkpoint in `checkpoints/Qwen2.5-1.5B-tools/`).
+
+## Training
+
+- Recipe: `TrainFinetuneRecipeForNextTokenPrediction` (NeMo AutoModel 0.5.0)
+- Config: `configs/qwen25_1.5b_tools.yaml`
+- LoRA: dim 32, alpha 32, dropout 0.05, target_modules `*.proj`
+- Data: `sft_tools` split of `r0b0tlab/qwen3.8-max-glm5.2-kimi-k3-distillation`
+- Learning rate: 1e-5 (cosine decay), 501 steps, global batch 64, seq length 4096
+
+## Sibling artifacts
+
+- GGUF quantizations: `models/Qwen2.5-1.5B-tools-GGUF/`
+- NVFP4 checkpoint: `models/Qwen2.5-1.5B-tools-NVFP4/`
+
+<!-- VALIDATION:BEGIN (auto-generated, do not edit) -->
+## Validation matrix
+
+Tool-calling validation on the `sft_tools` validation split (greedy decoding, 384 max new tokens). Throughput is single-stream greedy decode, not serving throughput.
+
+Pretrained base (unsloth/Qwen2.5-1.5B-Instruct): 8.8% exact-args match (24/274).
+Fine-tuned (BF16): 0.7% exact-args match (2/274) (-8pp vs base).
+- GGUF-BF16: 2/274 (0.7%) exact, 88.6 tok/s — 100% of BF16.
+- GGUF-Q4_K_M: 3/274 (1.1%) exact, 142.9 tok/s — 150% of BF16.
+- GGUF-Q5_K_M: 6/274 (2.2%) exact, 131.4 tok/s — 300% of BF16.
+- GGUF-Q8_0: 2/274 (0.7%) exact, 115.3 tok/s — 100% of BF16.
+
+| Model | Quant | n | Tool call emitted | Names match | Exact args match | Δ exact vs BASE | tok/s |
+|---|---|---|---|---|---|---|---|
+| Qwen2.5-1.5B-tools | BASE (unsloth/Qwen2.5-1.5B-Instruct) | 274 | 272/274 (99.3%) | 59/274 (21.5%) | 24/274 (8.8%) | — | 40.6 |
+| Qwen2.5-1.5B-tools | BF16 | 274 | 258/274 (94.2%) | 216/274 (78.8%) | 2/274 (0.7%) | -8pp | 38.0 |
+| Qwen2.5-1.5B-tools | GGUF-BF16 | 274 | 272/274 (99.3%) | 167/274 (60.9%) | 2/274 (0.7%) | -8pp | 88.6 |
+| Qwen2.5-1.5B-tools | GGUF-Q4_K_M | 274 | 248/274 (90.5%) | 49/274 (17.9%) | 3/274 (1.1%) | -7.7pp | 142.9 |
+| Qwen2.5-1.5B-tools | GGUF-Q5_K_M | 274 | 260/274 (94.9%) | 79/274 (28.8%) | 6/274 (2.2%) | -6.6pp | 131.4 |
+| Qwen2.5-1.5B-tools | GGUF-Q8_0 | 274 | 271/274 (98.9%) | 187/274 (68.2%) | 2/274 (0.7%) | -8pp | 115.3 |
+<!-- VALIDATION:END -->

chat_template.jinja

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+{%- 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 %}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.8.1",
+  "unsloth_fixed": true,
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "max_length": 32768,
+  "pad_token_id": 151654,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.8.1"
+}

model.safetensors

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+size 3087467144

tokenizer.json

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+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": false,
+  "local_files_only": false,
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}