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Model: kshitijthakkar/loggenix-moe-0.4B-0.2A-sft-s3.1
Source: Original Platform

.gitattributes

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+loggenix-moe-0.4B-0.2A-sft-s3.1-f16.gguf filter=lfs diff=lfs merge=lfs -text
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+comprehensive_evaluation.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- moe
+- mixture-of-experts
+- qwen3
+- function-calling
+- tool-use
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# loggenix-moe-0.4B-0.2A-sft-s3.1
+
+## Model Description
+
+This is a Mixture of Experts (MoE) language model fine-tuned for various tasks including:
+- Tool/Function Calling
+- Code Generation
+- Reasoning & Math
+- Safety & Content Moderation
+
+## Evaluation Results
+
+**Evaluation Date:** 20260128_105522
+
+### Standard Benchmarks (lm-evaluation-harness)
+
+| Benchmark | Score |
+|-----------|-------|
+| arc_challenge | 10.00% |
+| arc_easy | 10.00% |
+| boolq | 40.00% |
+| gsm8k | 0.00% |
+| hellaswag | 40.00% |
+| mmlu | 25.26% |
+| mmlu_humanities | 26.15% |
+| mmlu_formal_logic | 20.00% |
+| mmlu_high_school_european_history | 20.00% |
+| mmlu_high_school_us_history | 30.00% |
+| mmlu_high_school_world_history | 30.00% |
+| mmlu_international_law | 30.00% |
+| mmlu_jurisprudence | 40.00% |
+| mmlu_logical_fallacies | 40.00% |
+| mmlu_moral_disputes | 10.00% |
+| mmlu_moral_scenarios | 20.00% |
+| mmlu_philosophy | 10.00% |
+| mmlu_prehistory | 30.00% |
+| mmlu_professional_law | 20.00% |
+| mmlu_world_religions | 40.00% |
+| mmlu_other | 26.15% |
+| mmlu_business_ethics | 10.00% |
+| mmlu_clinical_knowledge | 40.00% |
+| mmlu_college_medicine | 40.00% |
+| mmlu_global_facts | 20.00% |
+| mmlu_human_aging | 40.00% |
+| mmlu_management | 0.00% |
+| mmlu_marketing | 50.00% |
+| mmlu_medical_genetics | 30.00% |
+| mmlu_miscellaneous | 20.00% |
+| mmlu_nutrition | 20.00% |
+| mmlu_professional_accounting | 30.00% |
+| mmlu_professional_medicine | 20.00% |
+| mmlu_virology | 20.00% |
+| mmlu_social_sciences | 27.50% |
+| mmlu_econometrics | 40.00% |
+| mmlu_high_school_geography | 20.00% |
+| mmlu_high_school_government_and_politics | 30.00% |
+| mmlu_high_school_macroeconomics | 0.00% |
+| mmlu_high_school_microeconomics | 10.00% |
+| mmlu_high_school_psychology | 50.00% |
+| mmlu_human_sexuality | 20.00% |
+| mmlu_professional_psychology | 40.00% |
+| mmlu_public_relations | 20.00% |
+| mmlu_security_studies | 30.00% |
+| mmlu_sociology | 20.00% |
+| mmlu_us_foreign_policy | 50.00% |
+| mmlu_stem | 22.63% |
+| mmlu_abstract_algebra | 20.00% |
+| mmlu_anatomy | 20.00% |
+| mmlu_astronomy | 20.00% |
+| mmlu_college_biology | 30.00% |
+| mmlu_college_chemistry | 10.00% |
+| mmlu_college_computer_science | 20.00% |
+| mmlu_college_mathematics | 20.00% |
+| mmlu_college_physics | 30.00% |
+| mmlu_computer_security | 50.00% |
+| mmlu_conceptual_physics | 30.00% |
+| mmlu_electrical_engineering | 40.00% |
+| mmlu_elementary_mathematics | 0.00% |
+| mmlu_high_school_biology | 30.00% |
+| mmlu_high_school_chemistry | 30.00% |
+| mmlu_high_school_computer_science | 20.00% |
+| mmlu_high_school_mathematics | 20.00% |
+| mmlu_high_school_physics | 10.00% |
+| mmlu_high_school_statistics | 0.00% |
+| mmlu_machine_learning | 30.00% |
+| openbookqa | 40.00% |
+| piqa | 70.00% |
+| winogrande | 60.00% |
+
+### Synthetic Task Categories
+
+| Category | Score | Tasks Evaluated |
+|----------|-------|-----------------|
+| Tool Calling | 50.00% | 1 |
+| SRE DevOps | 16.67% | 12 |
+| Programming | 25.88% | 17 |
+| Reasoning | 11.25% | 4 |
+| LLM Evaluation | 22.00% | 5 |
+| Safety Ethics | 20.00% | 8 |
+| Financial | 23.75% | 8 |
+| Customer Support | 16.88% | 8 |
+| Observability | 26.25% | 8 |
+| Content Generation | 13.33% | 3 |
+| Core AI | 35.00% | 3 |
+
+### Tool-Calling Performance
+
+| Metric | Score |
+|--------|-------|
+| Format Accuracy | 20.00% |
+| Function Name Accuracy | 0.00% |
+| Parameter Accuracy | 0.00% |
+| Overall Accuracy | 6.67% |
+
+### Code Generation Performance
+
+| Metric | Score |
+|--------|-------|
+| Syntax Accuracy | 8.33% |
+| Keyword Coverage | 29.38% |
+| Completion Rate | 75.00% |
+
+### Overall Summary
+
+- **Synthetic Tasks Mean Score:** 21.68%
+- **Total Tasks Evaluated:** 170
+- **Task Coverage:** 180.9%
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("kshitijthakkar/loggenix-moe-0.4B-0.2A-sft-s3.1")
+model = AutoModelForCausalLM.from_pretrained("kshitijthakkar/loggenix-moe-0.4B-0.2A-sft-s3.1", trust_remote_code=True)
+
+# For tool calling
+messages = [
+    {"role": "system", "content": "You are a helpful assistant with access to tools."},
+    {"role": "user", "content": "What's the weather in San Francisco?"}
+]
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt")
+outputs = model.generate(inputs, max_new_tokens=256)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Training Data
+
+The model was fine-tuned on a diverse dataset including:
+- Tool-calling datasets (Toucan, ToolACE, SmoLAgents)
+- Safety datasets (HelpSteer3, Safety-Guard, Content-Safety-Reasoning)
+- Math datasets (GSM8K, MetaMath, Big-Math-RL)
+- Code datasets (Magicoder)
+- Reasoning datasets (Reasoning-Gemini, Textbook-Reasoning)
+
+## License
+
+Apache 2.0

added_tokens.json

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+{
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+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
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+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
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+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
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+}

category_detailed_breakdown.png

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chat_template.jinja

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+{% macro render_extra_keys(json_dict, handled_keys) %}
+    {%- if json_dict is mapping %}
+        {%- for json_key in json_dict if json_key not in handled_keys %}
+            {%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
+                {{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
+            {%- else %}
+                {{-'\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
+            {%- endif %}
+        {%- endfor %}
+    {%- endif %}
+{% endmacro %}
+
+{%- if messages[0]["role"] == "system" %}
+    {%- set system_message = messages[0]["content"] %}
+    {%- set loop_messages = messages[1:] %}
+{%- else %}
+    {%- set loop_messages = messages %}
+{%- endif %}
+
+{%- if not tools is defined %}
+    {%- set tools = [] %}
+{%- endif %}
+
+{%- if system_message is defined %}
+    {{- "<|im_start|>system\n" + system_message }}
+{%- else %}
+    {%- if tools is iterable and tools | length > 0 %}
+        {{- "<|im_start|>system\nYou are Qwen, a helpful AI assistant that can interact with a computer to solve tasks." }}
+    {%- endif %}
+{%- endif %}
+{%- if tools is iterable and tools | length > 0 %}
+    {{- "\n\n# Tools\n\nYou have access to the following functions:\n\n" }}
+    {{- "<tools>" }}
+    {%- for tool in tools %}
+        {%- if tool.function is defined %}
+            {%- set tool = tool.function %}
+        {%- endif %}
+        {{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
+        {%- if tool.description is defined %}
+            {{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
+        {%- endif %}
+        {{- '\n<parameters>' }}
+        {%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
+            {%- for param_name, param_fields in tool.parameters.properties|items %}
+                {{- '\n<parameter>' }}
+                {{- '\n<name>' ~ param_name ~ '</name>' }}
+                {%- if param_fields.type is defined %}
+                    {{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
+                {%- endif %}
+                {%- if param_fields.description is defined %}
+                    {{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
+                {%- endif %}
+                {%- set handled_keys = ['name', 'type', 'description'] %}
+                {{- render_extra_keys(param_fields, handled_keys) }}
+                {{- '\n</parameter>' }}
+            {%- endfor %}
+        {%- endif %}
+        {% set handled_keys = ['type', 'properties'] %}
+        {{- render_extra_keys(tool.parameters, handled_keys) }}
+        {{- '\n</parameters>' }}
+        {%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
+        {{- render_extra_keys(tool, handled_keys) }}
+        {{- '\n</function>' }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+{%- endif %}
+{%- if system_message is defined %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if tools is iterable and tools | length > 0 %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in loop_messages %}
+    {%- if message.role == "assistant" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
+            {{- '\n' + message.content | trim + '\n' }}
+        {%- 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<function=' + tool_call.name + '>\n' }}
+            {%- if tool_call.arguments is defined %}
+                {%- for args_name, args_value in tool_call.arguments|items %}
+                    {{- '<parameter=' + args_name + '>\n' }}
+                    {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
+                    {{- args_value }}
+                    {{- '\n</parameter>\n' }}
+                {%- endfor %}
+            {%- endif %}
+            {{- '</function>\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "user" or message.role == "system" or message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user\n' }}
+        {%- endif %}
+        {{- '<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>\n' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

comprehensive_evaluation.png

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config.json

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+{
+  "architectures": [
+    "Qwen3MoeForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "decoder_sparse_step": 1,
+  "dtype": "bfloat16",
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "max_position_embeddings": 262144,
+  "mlp_only_layers": [],
+  "model_size_billions": 0.62,
+  "model_type": "qwen3_moe",
+  "moe_intermediate_size": 768,
+  "norm_topk_prob": false,
+  "num_attention_heads": 8,
+  "num_experts": 16,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 2,
+  "output_router_logits": false,
+  "qk_norm": true,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "transformers_version": "4.57.6"
+}

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special_tokens_map.json

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+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
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+    "lstrip": false,
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+  "add_prefix_space": false,
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+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
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+    "<|box_end|>",
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+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
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+  "pad_token": "<|endoftext|>",
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+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}