Mahou 1.2a Mistral 7B by flammenai

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  Autotrain compatible Base model:flammenai/flammen27... Base model:quantized:flammenai... Dataset:flammenai/flamemix-dpo... Dataset:flammenai/grill-prepro... Dataset:flammenai/grill-prepro...   Endpoints compatible   Gguf   Mistral   Q3   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mahou 1.2a Mistral 7B Benchmarks

Mahou 1.2a Mistral 7B Parameters and Internals

Model Type 
conversational, roleplay, chat
Additional Notes 
Fine-tuned from flammen.ai conversational data to improve comprehension and coherence. Uses ChatML and roleplay formats.
Training Details 
Data Sources:
flammenai/FlameMix-DPO-v1, flammenai/Grill-preprod-v1_chatML, flammenai/Grill-preprod-v2_chatML
Methodology:
Fine-tuned with Direct Preference Optimization (DPO) using LoRA configurations.
Hardware Used:
A100 on Google Colab
Model Architecture:
LoRA configuration with specific modules targeted.
Input Output 
Input Format:
ChatML format
LLM NameMahou 1.2a Mistral 7B
Repository ๐Ÿค—https://huggingface.co/flammenai/Mahou-1.2a-mistral-7B 
Base Model(s)  Flammen27 Mistral 7B   flammenai/flammen27-mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
Maintainerflammenai
Model Typemistral
Model Files  3.5 GB   4.4 GB   5.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Typeq3|gguf|q4_k|q5_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Mahou 1.2a Mistral 7B (flammenai/Mahou-1.2a-mistral-7B)

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110