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Model: louisbrulenaudet/DevPearl-2x7B
Source: Original Platform

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README.md

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+---
+license: cc-by-sa-4.0
+tags:
+- moe
+- merge
+- mergekit
+- lazymergekit
+- deepseek-ai/deepseek-coder-6.7b-instruct
+- defog/sqlcoder-7b-2
+- Python
+- Javascript
+- sql
+base_model:
+- deepseek-ai/deepseek-coder-6.7b-instruct
+- defog/sqlcoder-7b-2
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+---
+<center><img src='https://i.imgur.com/0xFTuAX.png' width='450px'></center>
+
+# DevPearl-2x7B, an xtraordinary Mixture of Experts (MoE) for development
+
+DevPearl-2x7B is a Mixture of Experts (MoE) made with the following models :
+* [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)
+* [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2)
+
+A Mixture of Experts (MoE) model represents a sophisticated architecture that amalgamates the capabilities of multiple specialized models to address a wide array of tasks within a unified framework. Within the realm of a MoE model tailored for a chat application, the integration of expertise spanning three distinct domains - chat, code, and mathematics - substantially enhances its capacity to furnish nuanced and precise responses to a diverse spectrum of user inquiries.
+
+## Configuration
+
+```yaml
+base_model: codellama/CodeLlama-7b-Instruct-hf
+experts:
+  - source_model: deepseek-ai/deepseek-coder-6.7b-instruct
+    positive_prompts:
+      - "python"
+      - "javascript"
+      - "java"
+  - source_model: defog/sqlcoder-7b-2
+    positive_prompts:
+      - "SQL"
+```
+
+## Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "louisbrulenaudet/DevPearl-2x7B"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+## Citing & Authors
+
+If you use this code in your research, please use the following BibTeX entry.
+
+```BibTeX
+@misc{louisbrulenaudet2023,
+  author =       {Louis Brulé Naudet},
+  title =        {DevPearl-2x7B, an xtraordinary Mixture of Experts (MoE) for development},
+  year =         {2024}
+  howpublished = {\url{https://huggingface.co/louisbrulenaudet/DevPearl-2x7B}},
+}
+```
+
+## Feedback
+
+If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com).

config.json

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+{
+  "_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 16384,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "num_local_experts": 2,
+  "output_router_logits": false,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32016
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

mergekit_moe_config.yml

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+
+base_model: codellama/CodeLlama-7b-Instruct-hf
+experts:
+  - source_model: deepseek-ai/deepseek-coder-6.7b-instruct
+    positive_prompts:
+      - "python"
+      - "javascript"
+      - "java"
+  - source_model: defog/sqlcoder-7b-2
+    positive_prompts:
+      - "SQL"

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+    "▁<EOT>"
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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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+}