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Cognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits by RichardErkhov

 »  All LLMs  »  RichardErkhov  »  Cognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits   URL Share it on

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/cognitivecomputations_-_dolphin-2.8-mistral-7b-v02-4bits 

Cognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits Benchmarks

LLME Score: 0.18767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits (RichardErkhov/cognitivecomputations_-_dolphin-2.8-mistral-7b-v02-4bits)

Cognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial
Applications:
Text Generation, Conversational AI, Coding Solutions
Primary Use Cases:
instruction, conversational, coding
Considerations:
Advised to implement your own alignment layer before using the model as a service.
Additional Notes 
Enjoy responsibly. The model is highly compliant to requests and filtered for unethical biases.
Supported Languages 
en (Full Proficiency)
Training Details 
Data Sources:
cognitivecomputations/dolphin, cognitivecomputations/dolphin-coder, cognitivecomputations/samantha-data, jondurbin/airoboros-2.2.1, teknium/openhermes-2.5, m-a-p/Code-Feedback, m-a-p/CodeFeedback-Filtered-Instruction
Context Length:
32800
Training Time:
3 days
Hardware Used:
10x L40S provided by Crusoe Cloud
Model Architecture:
MistralForCausalLM
Input Output 
Accepted Modalities:
text
Release Notes 
Version:
0.2
Notes:
Fine-tuned from the base model with focus on instruction, conversational, and coding skills. Filtered to remove alignment and bias.
LLM NameCognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits
Repository 🤗https://huggingface.co/RichardErkhov/cognitivecomputations_-_dolphin-2.8-mistral-7b-v02-4bits 
Model Size7b
Required VRAM4.5 GB
Updated2025-02-22
MaintainerRichardErkhov
Model Typemistral
Instruction-BasedYes
Model Files  4.5 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/cognitivecomputations_-_dolphin-2.8-mistral-7b-v02-4bits.

Rank the Cognitivecomputations Dolphin 2.8 Mistral 7B V02 4bits 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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