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Deepseek Coder 6.7B Chat And Function Calling by AIGym

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Model Card on HF 🤗: https://huggingface.co/AIGym/deepseek-coder-6.7b-chat-and-function-calling 

Deepseek Coder 6.7B Chat And Function Calling Benchmarks

ARC: 36.09 vs 96.7 (so35)-62.7%
HellaSwag: 53.8 vs 95.3 (gpt4)-43.5%
MMLU: 38.29 vs 88.3 (so35)-56.6%
TruthfulQA: 42.83 vs 59 (gpt4)-27.4%
WinoGrande: 57.22 vs 87.5 (gpt4)-34.6%
GSM8K: 17.21 vs 96.4 (so35)-82.1%
LLME Score: 0.16862
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Coder 6.7B Chat And Function Calling (AIGym/deepseek-coder-6.7b-chat-and-function-calling)
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Deepseek Coder 6.7B Chat And Function Calling Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
open assistant dataset
Methodology:
Training included additional function calling tasks.
LLM NameDeepseek Coder 6.7B Chat And Function Calling
Repository 🤗https://huggingface.co/AIGym/deepseek-coder-6.7b-chat-and-function-calling 
Model Size6.7b
Required VRAM13.5 GB
Updated2024-12-12
MaintainerAIGym
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size32256
Torch Data Typebfloat16

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Deepseek Coder 6.7B Base16K / 13.5 GB154536117
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...s Coder6.7b Reflct Adamw Iter116K / 13.5 GB4750
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB950
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...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB870
...ir4 Ds Coder6.7b Rmsprop Iter116K / 13.5 GB430
...r6.7b Pos Reflct Rmsprop Iter116K / 13.5 GB900
...Coder6.7b Reflct Rmsprop Iter116K / 13.5 GB620
Ds Coder6.7b Rmsprop Iter116K / 13.5 GB670
Note: green Score (e.g. "73.2") means that the model is better than AIGym/deepseek-coder-6.7b-chat-and-function-calling.

Rank the Deepseek Coder 6.7B Chat And Function Calling 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 v20241124
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