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Model: S-miguel/The-Trinity-Coder-7B
Source: Original Platform

.gitattributes

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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
+}

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

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": null,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}