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abideen
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MonarchCoder-MoE-2x7B

Text Generation
Transformers
Safetensors
English
mixtral
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
mlabonne/AlphaMonarch-7B
Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +94 -0
  2. config.json +30 -0
  3. mergekit_moe_config.yml +46 -0
  4. model-00001-of-00056.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - moe
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+ - frankenmoe
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - mlabonne/AlphaMonarch-7B
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+ - Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0
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+ base_model:
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+ - mlabonne/AlphaMonarch-7B
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+ - Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0
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+ ---
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+
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+ # MonarchCoder-MoE-2x7B
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+
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+ MonarchCoder-MoE-2x7B is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
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+ * [Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0](https://huggingface.co/Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ base_model: paulml/OGNO-7B
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+ gate_mode: hidden
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+ dtype: bfloat16
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+ experts:
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+ - source_model: mlabonne/AlphaMonarch-7B
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+ positive_prompts:
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+ - "Mathematics"
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+ - "Logical Reasoning"
33
+ - "Intelligent Conversations"
34
+ - "Thoughtful Analysis"
35
+ - "Biology"
36
+ - "Medicine"
37
+ - "Problem-solving Dialogue"
38
+ - "Physics"
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+ - "Emotional intelligence"
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+
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+ negative_prompts:
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+ - "History"
43
+ - "Philosophy"
44
+ - "Linguistics"
45
+ - "Literature"
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+ - "Art and Art History"
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+ - "Music Theory and Composition"
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+ - "Performing Arts (Theater, Dance)"
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+
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+ - source_model: Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0
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+ positive_prompts:
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+ - "Coding"
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+ - "Algorithm Design"
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+ - "Problem Solving"
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+ - "Software Development"
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+ - "Computer"
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+ - "Code Refactoring"
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+ - "Web development"
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+ - "Machine learning"
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+ negative_prompts:
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+ - "Education"
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+ - "Law"
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+ - "Theology and Religious Studies"
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+ - "Communication Studies"
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+ - "Business and Management"
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+ - "Agricultural Sciences"
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+ - "Nutrition and Food Science"
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+ - "Sports Science"
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+
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers bitsandbytes accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "abideen/MonarchCoder-MoE-2x7B"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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+ )
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+
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+ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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+ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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+ print(outputs[0]["generated_text"])
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "paulml/OGNO-7B",
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+ "architectures": [
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+ "MixtralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 2,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "router_aux_loss_coef": 0.001,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ base_model: paulml/OGNO-7B
3
+ gate_mode: hidden
4
+ dtype: bfloat16
5
+ experts:
6
+ - source_model: mlabonne/AlphaMonarch-7B
7
+ positive_prompts:
8
+ - "Mathematics"
9
+ - "Logical Reasoning"
10
+ - "Intelligent Conversations"
11
+ - "Thoughtful Analysis"
12
+ - "Biology"
13
+ - "Medicine"
14
+ - "Problem-solving Dialogue"
15
+ - "Physics"
16
+ - "Emotional intelligence"
17
+
18
+ negative_prompts:
19
+ - "History"
20
+ - "Philosophy"
21
+ - "Linguistics"
22
+ - "Literature"
23
+ - "Art and Art History"
24
+ - "Music Theory and Composition"
25
+ - "Performing Arts (Theater, Dance)"
26
+
27
+ - source_model: Syed-Hasan-8503/Tess-Coder-7B-Mistral-v1.0
28
+ positive_prompts:
29
+ - "Coding"
30
+ - "Algorithm Design"
31
+ - "Problem Solving"
32
+ - "Software Development"
33
+ - "Computer"
34
+ - "Code Refactoring"
35
+ - "Web development"
36
+ - "Machine learning"
37
+ negative_prompts:
38
+ - "Education"
39
+ - "Law"
40
+ - "Theology and Religious Studies"
41
+ - "Communication Studies"
42
+ - "Business and Management"
43
+ - "Agricultural Sciences"
44
+ - "Nutrition and Food Science"
45
+ - "Sports Science"
46
+
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