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Deepseek Coder 1.3B Chat And Function Calling by AIGym

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  Autotrain compatible   Codegen   Conversational   Endpoints compatible   Finetuned   Llama   Model-index   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/AIGym/deepseek-coder-1.3b-chat-and-function-calling 

Deepseek Coder 1.3B Chat And Function Calling Benchmarks

ARC: 26.28 vs 96.7 (so35)-72.8%
HellaSwag: 39.27 vs 95.3 (gpt4)-58.8%
MMLU: 26.92 vs 88.3 (so35)-69.5%
TruthfulQA: 43.37 vs 59 (gpt4)-26.5%
WinoGrande: 51.7 vs 87.5 (gpt4)-40.9%
GSM8K: 3.41 vs 96.4 (so35)-96.5%
LLME Score: 0.20996
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepseek Coder 1.3B Chat And Function Calling (AIGym/deepseek-coder-1.3b-chat-and-function-calling)

Deepseek Coder 1.3B Chat And Function Calling Parameters and Internals

Model Type 
text-generation
Use Cases 
Considerations:
Use the specified template when interacting with the fine-tuned model.
Additional Notes 
The model was fine-tuned to work with OpenAI syntask and will return function when appropriate.
Training Details 
Methodology:
Fine-tuned on the open assistant dataset and function calling
LLM NameDeepseek Coder 1.3B Chat And Function Calling
Repository 🤗https://huggingface.co/AIGym/deepseek-coder-1.3b-chat-and-function-calling 
Model Size1.3b
Required VRAM2.7 GB
Updated2024-12-12
MaintainerAIGym
Model Typellama
Model Files  2.7 GB
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

Quantized Models of the Deepseek Coder 1.3B Chat And Function Calling

Model
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VRAM
...Coder 1.3B Function Calling V113902 GB

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Deepseek Coder 1.3B Chat16K / 2.7 GB981
Note: green Score (e.g. "73.2") means that the model is better than AIGym/deepseek-coder-1.3b-chat-and-function-calling.

Rank the Deepseek Coder 1.3B 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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