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Model: M4-ai/TinyMistral-6x248M
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- Locutusque/TinyMistral-248M-v2
+- Locutusque/TinyMistral-248M-v2.5
+- Locutusque/TinyMistral-248M-v2.5-Instruct
+- jtatman/tinymistral-v2-pycoder-instruct-248m
+- Felladrin/TinyMistral-248M-SFT-v4
+- Locutusque/TinyMistral-248M-v2-Instruct
+base_model:
+- Locutusque/TinyMistral-248M-v2
+- Locutusque/TinyMistral-248M-v2.5
+- Locutusque/TinyMistral-248M-v2.5-Instruct
+- jtatman/tinymistral-v2-pycoder-instruct-248m
+- Felladrin/TinyMistral-248M-SFT-v4
+- Locutusque/TinyMistral-248M-v2-Instruct
+inference:
+  parameters:
+    do_sample: true
+    temperature: 0.2
+    top_p: 0.14
+    top_k: 12
+    max_new_tokens: 250
+    repetition_penalty: 1.15
+widget:
+- text: |
+    <|im_start|>user
+    Write me a Python program that calculates the factorial of n. <|im_end|>
+    <|im_start|>assistant
+- text: >-
+    An emerging clinical approach to treat substance abuse disorders involves a
+    form of cognitive-behavioral therapy whereby addicts learn to reduce their
+    reactivity to drug-paired stimuli through cue-exposure or extinction
+    training. It is, however,
+datasets:
+- nampdn-ai/mini-peS2o
+---
+
+# TinyMistral-6x248M
+
+TinyMistral-6x248M is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Locutusque/TinyMistral-248M-v2](https://huggingface.co/Locutusque/TinyMistral-248M-v2)
+* [Locutusque/TinyMistral-248M-v2.5](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5)
+* [Locutusque/TinyMistral-248M-v2.5-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5-Instruct)
+* [jtatman/tinymistral-v2-pycoder-instruct-248m](https://huggingface.co/jtatman/tinymistral-v2-pycoder-instruct-248m)
+* [Felladrin/TinyMistral-248M-SFT-v4](https://huggingface.co/Felladrin/TinyMistral-248M-SFT-v4)
+* [Locutusque/TinyMistral-248M-v2-Instruct](https://huggingface.co/Locutusque/TinyMistral-248M-v2-Instruct)
+
+The resulting model is then pre-trained on 600,000 examples of nampdn-ai/mini-peS2o.
+
+We don't recommend using the Inference API as the model has serious performance degradation.
+
+### Recommended inference parameters
+
+```
+do_sample: true
+temperature: 0.2
+top_p: 0.14
+top_k: 12
+repetition_penalty: 1.15
+```
+
+## 🧩 Configuration
+
+```yaml
+base_model: Locutusque/TinyMistral-248M-v2.5
+experts:
+  - source_model: Locutusque/TinyMistral-248M-v2
+    positive_prompts:
+      - "An emerging trend in global economics is"
+      - "TITLE: The Next Generation of Internet Connectivity"
+      - "begin a comprehensive analysis on the sociopolitical effects of"
+    negative_prompts:
+      - "Code a simple"
+      - "Explain the Krebs cycle in detail"
+      - "Compose a sonnet about"
+
+  - source_model: Locutusque/TinyMistral-248M-v2.5
+    positive_prompts:
+      - "Advanced C++ memory management techniques"
+      - "C# asynchronous programming best practices"
+      - "AI's role in predictive analytics"
+      - "textbook review on machine learning algorithms"
+      - "## Exercise: Design a C# interface for a CRM system"
+      - "## Solution: Optimize an AI-powered recommendation engine"
+    negative_prompts:
+      - "Narrate the story of"
+      - "The ethical considerations in"
+      - "Review the latest art exhibition by"
+  
+  - source_model: Locutusque/TinyMistral-248M-v2.5-Instruct
+    positive_prompts:
+      - "What is the chemical formula for photosynthesis?"
+      - "Identification of a new mineral found on Mars"
+      - "physics: Explaining the concept of relativity"
+      - "Solve for x using differential equations:"
+      - "history: Analyze the causes of the French Revolution"
+    negative_prompts:
+      - "Devise a business plan for"
+      - "The evolution of culinary arts"
+      - "Orchestrate a piece for a string quartet"
+  
+  - source_model: jtatman/tinymistral-v2-pycoder-instruct-248m
+    positive_prompts:
+      - "Write a Python program for facial recognition"
+      - "Explain dynamic typing in programming languages"
+      - "algorithm development for efficient data sorting"
+    negative_prompts:
+      - "Who was the first Emperor of Rome?"
+      - "Discuss the political dynamics in"
+      - "Provide a proof for Fermat's Last Theorem"
+      - "physics: The principles of thermodynamics"
+  
+  - source_model: Felladrin/TinyMistral-248M-SFT-v4
+    positive_prompts:
+      - "Escreba sobre a influência da música no Brasil"
+      - "Voici un guide pour les voyageurs en France"
+      - "Para entender la política de México, se debe considerar"
+      - "Cuales son los efectos de la globalización en Argentina"
+      - "Welche gesellschaftlichen Veränderungen gibt es in Deutschland"
+      - "If you had to imagine a utopian city, what would be its core values?"
+    negative_prompts:
+      - "Calculate the integral of"
+      - "Describe the process of cell division"
+      - "Review the latest advancements in quantum computing"
+
+  - source_model: Locutusque/TinyMistral-248M-v2-Instruct
+    positive_prompts:
+      - "Write an essay on the evolution of international trade laws"
+      - "What are the key components of a sustainable urban ecosystem?"
+      - "instruct on effective negotiation techniques in diplomacy"
+      - "How does cognitive bias affect decision making in high-pressure environments?"
+      - "Identify the architectural significance of the Sydney Opera House"
+    negative_prompts:
+      - "Develop a script to automate"
+      - "Understanding inheritance in object-oriented programming"
+      - "philosophy of existentialism in contemporary society"
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "M4-ai/TinyMistral-6x248M"
+
+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"])
+```

config.json

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+{
+  "_name_or_path": "/media/sebastian/T7/Projects/saved_models",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 12,
+  "num_key_value_heads": 8,
+  "num_local_experts": 6,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32005
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.2"
+}

mergekit_moe_config.yml

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+
+base_model: Locutusque/TinyMistral-248M-v2.5
+experts:
+  - source_model: Locutusque/TinyMistral-248M-v2
+    positive_prompts:
+      - "An emerging trend in global economics is"
+      - "TITLE: The Next Generation of Internet Connectivity"
+      - "begin a comprehensive analysis on the sociopolitical effects of"
+    negative_prompts:
+      - "Code a simple"
+      - "Explain the Krebs cycle in detail"
+      - "Compose a sonnet about"
+
+  - source_model: Locutusque/TinyMistral-248M-v2.5
+    positive_prompts:
+      - "Advanced C++ memory management techniques"
+      - "C# asynchronous programming best practices"
+      - "AI's role in predictive analytics"
+      - "textbook review on machine learning algorithms"
+      - "## Exercise: Design a C# interface for a CRM system"
+      - "## Solution: Optimize an AI-powered recommendation engine"
+    negative_prompts:
+      - "Narrate the story of"
+      - "The ethical considerations in"
+      - "Review the latest art exhibition by"
+  
+  - source_model: Locutusque/TinyMistral-248M-v2.5-Instruct
+    positive_prompts:
+      - "What is the chemical formula for photosynthesis?"
+      - "Identification of a new mineral found on Mars"
+      - "physics: Explaining the concept of relativity"
+      - "Solve for x using differential equations:"
+      - "history: Analyze the causes of the French Revolution"
+    negative_prompts:
+      - "Devise a business plan for"
+      - "The evolution of culinary arts"
+      - "Orchestrate a piece for a string quartet"
+  
+  - source_model: jtatman/tinymistral-v2-pycoder-instruct-248m
+    positive_prompts:
+      - "Write a Python program for facial recognition"
+      - "Explain dynamic typing in programming languages"
+      - "algorithm development for efficient data sorting"
+    negative_prompts:
+      - "Who was the first Emperor of Rome?"
+      - "Discuss the political dynamics in"
+      - "Provide a proof for Fermat's Last Theorem"
+      - "physics: The principles of thermodynamics"
+  
+  - source_model: Felladrin/TinyMistral-248M-SFT-v4
+    positive_prompts:
+      - "Escreba sobre a influência da música no Brasil"
+      - "Voici un guide pour les voyageurs en France"
+      - "Para entender la política de México, se debe considerar"
+      - "Cuales son los efectos de la globalización en Argentina"
+      - "Welche gesellschaftlichen Veränderungen gibt es in Deutschland"
+      - "If you had to imagine a utopian city, what would be its core values?"
+    negative_prompts:
+      - "Calculate the integral of"
+      - "Describe the process of cell division"
+      - "Review the latest advancements in quantum computing"
+
+  - source_model: Locutusque/TinyMistral-248M-v2-Instruct
+    positive_prompts:
+      - "Write an essay on the evolution of international trade laws"
+      - "What are the key components of a sustainable urban ecosystem?"
+      - "instruct on effective negotiation techniques in diplomacy"
+      - "How does cognitive bias affect decision making in high-pressure environments?"
+      - "Identify the architectural significance of the Sydney Opera House"
+    negative_prompts:
+      - "Develop a script to automate"
+      - "Understanding inheritance in object-oriented programming"
+      - "philosophy of existentialism in contemporary society"

model.safetensors

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+oid sha256:643390caf77542ac81aa6756dc908473226f383fe59a7b5eeab8f085bf0a551b
+size 4012327872

special_tokens_map.json

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+    "content": "<|bos|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
+  }
+}

tokenizer_config.json

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+  "bos_token": "<|bos|>",
+  "clean_up_tokenization_spaces": false,
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+  "max_length": 1536,
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+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}