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README.md

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 ---
 license: apache-2.0
+language:
+- en
+library_name: transformers
+tags:
+- Code Generation
+- Logical Reasoning
+- Problem Solving
+- Text Generation
+- AI Programming Assistant
 ---
+<h1>The-Trinity-Coder-7B: 3 Blended Coder Models - Unified Coding Intelligence</h1>
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6405c7afbe1a9448a79b177f/hZkh-FJITEKdX32gn0cu-.png)
+
+<p><strong>Overview</strong></p>
+<p>The-Trinity-Coder-7B derives from the fusion of three distinct AI models, each specializing in unique aspects of coding and programming challenges. This model unifies the capabilities of beowolx_CodeNinja-1.0-OpenChat-7B, NeuralExperiment-7b-MagicCoder, and Speechless-Zephyr-Code-Functionary-7B, creating a versatile and powerful new blended model. The integration of these models was achieved through a merging technique, in order to harmonize their strengths and mitigate their individual weaknesses.</p>
+
+<h2>The Blend</h2>
+<ul>
+  <li><strong>Comprehensive Coding Knowledge:</strong> TrinityAI combines knowledge of coding instructions across a wide array of programming languages, including Python, C, C++, Rust, Java, JavaScript, and more, making it a versatile assistant for coding projects of any scale.</li>
+  <li><strong>Advanced Code Completion:</strong> With its extensive context window, TrinityAI excels in project-level code completion, offering suggestions that are contextually relevant and syntactically accurate.</li>
+  <li><strong>Specialized Skills Integration:</strong> The-Trinity-Coder provides code completion but is also good at logical reasoning for its size, mathematical problem-solving, and understanding complex programming concepts.</li>
+</ul>
+
+<h2>Model Synthesis Approach</h2>
+<p>The blending of the three models into TrinityAI utilized a unique merging technique that focused on preserving the core strengths of each component model:</p>
+<ul>
+  <li><strong>beowolx_CodeNinja-1.0-OpenChat-7B:</strong> This model brings an expansive database of coding instructions, refined through Supervised Fine Tuning, making it an advanced coding assistant.</li>
+  <li><strong>NeuralExperiment-7b-MagicCoder:</strong> Trained on datasets focusing on logical reasoning, mathematics, and programming, this model enhances TrinityAI's problem-solving and logical reasoning capabilities.</li>
+  <li><strong>Speechless-Zephyr-Code-Functionary-7B:</strong> Part of the Moloras experiments, this model contributes enhanced coding proficiency and dynamic skill integration through its unique LoRA modules.</li>
+</ul>
+
+<h2>Usage and Implementation</h2>
+<pre><code>from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "YourRepository/The-Trinity-Coder-7B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+prompt = "Your prompt here"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+</code></pre>
+
+<h2>Acknowledgments</h2>
+<p>Special thanks to the creators and contributors of CodeNinja, NeuralExperiment-7b-MagicCoder, and Speechless-Zephyr-Code-Functionary-7B for providing the base models for blending.</p>
+
+
+
+
+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# merged_folder
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using uukuguy_speechless-zephyr-code-functionary-7b as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+*uukuguy_speechless-zephyr-code-functionary-7b
+* Kukedlc_NeuralExperiment-7b-MagicCoder-v7.5
+* beowolx_CodeNinja-1.0-OpenChat-7B
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: X:/text-generation-webui-main/models/uukuguy_speechless-zephyr-code-functionary-7b
+models:
+  - model: X:/text-generation-webui-main/models/beowolx_CodeNinja-1.0-OpenChat-7B
+    parameters:
+      density: 0.5
+      weight: 0.4
+  - model: X:/text-generation-webui-main/models/Kukedlc_NeuralExperiment-7b-MagicCoder-v7.5
+    parameters:
+      density: 0.5
+      weight: 0.4
+merge_method: ties
+parameters:
+  normalize: true
+dtype: float16
+
+```

config.json

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+{
+    "_name_or_path": "X:/text-generation-webui-main/models/uukuguy_speechless-zephyr-code-functionary-7b",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float16",
+    "transformers_version": "4.39.0.dev0",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.17",
+        "bits": 5.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+base_model: X:/text-generation-webui-main/models/uukuguy_speechless-zephyr-code-functionary-7b
+models:
+  - model: X:/text-generation-webui-main/models/beowolx_CodeNinja-1.0-OpenChat-7B
+    parameters:
+      density: 0.5
+      weight: 0.4
+  - model: X:/text-generation-webui-main/models/Kukedlc_NeuralExperiment-7b-MagicCoder-v7.5
+    parameters:
+      density: 0.5
+      weight: 0.4
+merge_method: ties
+parameters:
+  normalize: true
+dtype: float16

model.safetensors.index.json

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