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Model: NBAmine/mistral-nemo-text-to-sql
Source: Original Platform

.gitattributes

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README.md

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+---
+language:
+- en
+base_model: mistralai/Mistral-Nemo-Instruct-2407
+tags:
+- text-to-sql
+- mistral-nemo
+- spider
+- peft
+- qlora
+metrics:
+- execution_accuracy
+- exact_match
+model_creator: NBAmine
+pipeline_tag: text-generation
+datasets:
+- gretelai/synthetic_text_to_sql
+- xlangai/spider
+- NBAmine/xlangai-spider-with-context
+library_name: transformers
+---
+
+# Mistral-Nemo-12B-Text-to-SQL
+
+[![GitHub](https://img.shields.io/badge/GitHub-Repo-181717?logo=github&logoColor=white)](https://github.com/NBAmine/Nemo-text-to-sql)
+
+
+## Model Overview
+This is the full-precision (BF16), merged version of a **Mistral-Nemo-12B** model Parameter-Efficient Fine-Tuned for high-performance **Text-to-SQL** generation. This model is the result of merging LoRA adapters—trained via a two-phase curriculum learning strategy—back into the base weights. 
+
+It is designed to serve as the "Source of Truth" for further optimizations (like AWQ or GGUF) and represents the peak predictive performance of the training pipeline before any quantization-related drift.
+
+- **Base Model:** `mistralai/Mistral-Nemo-Base-2407`
+- **Primary Task:** Natural Language to SQL generation with DDL context.
+- **Output Format:** Standalone SQL queries compatible with standard SQL engines.
+
+## Training Methodology
+The model was developed using an MLOps pipeline on dual T4 GPUs in Kaggle.
+
+### 1. Curriculum Learning Strategy
+The model underwent a two-stage training process:
+- **Phase 1 (Syntactic Alignment):** Focused on SQL syntax, basic keywords, and simple schema mapping.
+- **Phase 2 (Logical Alignment):** Introduced complex reasoning tasks including multiple `JOIN` operations, nested subqueries, and set operations (`UNION`, `INTERSECT`).
+
+### 2. Fine-Tuning Details
+- **Technique:** QLoRA (Rank 16, Alpha 32)
+- **Quantization (during training):** 4-bit NF4
+- **Optimizer:** Paged AdamW 8-bit
+- **Hardware:** 2x NVIDIA T4 (Kaggle).
+
+## Evaluation Results
+Evaluated on the **Spider** validation set:
+- **Execution Accuracy (EX):** **69.5%**
+- **Exact Match (EM):** 61.2%
+- **Max Context Length:** 2048 tokens
+
+## Architecture Specs
+The merged weights utilize the standard Mistral-Nemo 12B architecture:
+- **Parameters:** 12.2B
+- **Layers:** 40
+- **Attention:** Grouped Query Attention (GQA) with 8 KV heads.
+- **Vocabulary Size:** 128k (Tekken Tokenizer)
+- **VRAM Requirements:** ~24GB for inference in BF16/FP16.
+
+
+## Template used during training
+
+prompt = "Context: {DDL}<br>Question: {NL_QUERY}<br>Answer:"

chat_template.jinja

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+{%- 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 = none %}
+{%- endif %}
+{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
+
+{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
+{%- set ns = namespace() %}
+{%- set ns.index = 0 %}
+{%- for message in loop_messages %}
+    {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
+        {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
+            {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
+        {%- endif %}
+        {%- set ns.index = ns.index + 1 %}
+    {%- endif %}
+{%- endfor %}
+
+{{- bos_token }}
+{%- for message in loop_messages %}
+    {%- if message["role"] == "user" %}
+        {%- if tools is not none and (message == user_messages[-1]) %}
+            {{- "[AVAILABLE_TOOLS][" }}
+            {%- for tool in tools %}
+                {%- set tool = tool.function %}
+                {{- '{"type": "function", "function": {' }}
+                {%- for key, val in tool.items() if key != "return" %}
+                    {%- if val is string %}
+                        {{- '"' + key + '": "' + val + '"' }}
+                    {%- else %}
+                        {{- '"' + key + '": ' + val|tojson }}
+                    {%- endif %}
+                    {%- if not loop.last %}
+                        {{- ", " }}
+                    {%- endif %}
+                {%- endfor %}
+                {{- "}}" }}
+                {%- if not loop.last %}
+                    {{- ", " }}
+                {%- else %}
+                    {{- "]" }}
+                {%- endif %}
+            {%- endfor %}
+            {{- "[/AVAILABLE_TOOLS]" }}
+            {%- endif %}
+        {%- if loop.last and system_message is defined %}
+            {{- "[INST]" + system_message + "\n\n" + message["content"] + "[/INST]" }}
+        {%- else %}
+            {{- "[INST]" + message["content"] + "[/INST]" }}
+        {%- endif %}
+    {%- elif (message.tool_calls is defined and message.tool_calls is not none) %}
+        {{- "[TOOL_CALLS][" }}
+        {%- for tool_call in message.tool_calls %}
+            {%- set out = tool_call.function|tojson %}
+            {{- out[:-1] }}
+            {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
+                {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+            {%- endif %}
+            {{- ', "id": "' + tool_call.id + '"}' }}
+            {%- if not loop.last %}
+                {{- ", " }}
+            {%- else %}
+                {{- "]" + eos_token }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif message["role"] == "assistant" %}
+        {{- message["content"] + eos_token}}
+    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
+        {%- if message.content is defined and message.content.content is defined %}
+            {%- set content = message.content.content %}
+        {%- else %}
+            {%- set content = message.content %}
+        {%- endif %}
+        {{- '[TOOL_RESULTS]{"content": ' + content|string + ", " }}
+        {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
+            {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
+        {%- endif %}
+        {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
+    {%- else %}
+        {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
+    {%- endif %}
+{%- endfor %}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "vocab_size": 131072
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.57.6"
+}

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