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Fc Dolphin 2.6 Mistral 7B DPO Laser by cognitivecomputations

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser 

Fc Dolphin 2.6 Mistral 7B DPO Laser Benchmarks

ARC: 62.97 vs 96.7 (so35)-34.9%
HellaSwag: 84.18 vs 95.3 (gpt4)-11.7%
MMLU: 63.65 vs 88.3 (so35)-27.9%
TruthfulQA: 57.75 vs 59 (gpt4)-2.1%
WinoGrande: 78.37 vs 87.5 (gpt4)-10.4%
GSM8K: 43.29 vs 96.4 (so35)-55.1%
LLME Score: 0.18304
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fc Dolphin 2.6 Mistral 7B DPO Laser (cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser)

Fc Dolphin 2.6 Mistral 7B DPO Laser Parameters and Internals

Model Type 
Function Calling, Text Generation
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Function Calling
Training Details 
Data Sources:
glaiveai/glaive-function-calling-v2
Methodology:
We partially freeze the model according to a laser-like analysis which prevents forgetting previously acquired knowledge, crucial for teaching specific skills like function calling.
Input Output 
Input Format:
ChatML syntax for representing chats
LLM NameFc Dolphin 2.6 Mistral 7B DPO Laser
Repository 🤗https://huggingface.co/cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainercognitivecomputations
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
Vocabulary Size32001
Torch Data Typebfloat16

Quantized Models of the Fc Dolphin 2.6 Mistral 7B DPO Laser

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VRAM
... 7B DPO Laser AWQ 4bit Smashed0804 GB
... 7B DPO Laser Bnb 4bit Smashed0784 GB
...n 2.6 Mistral 7B DPO Laser AWQ3154 GB

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Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than cognitivecomputations/fc-dolphin-2.6-mistral-7b-dpo-laser.

Rank the Fc Dolphin 2.6 Mistral 7B DPO Laser Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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