LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Phi Nut Butter Codebagel V1 GPTQ by thesven

 »  All LLMs  »  thesven  »  Phi Nut Butter Codebagel V1 GPTQ   URL Share it on

  19   
  4-bit   Autotrain compatible   Conversational   Custom code   Dataset:replete-ai/code bagel   Endpoints compatible   Gptq   Phi3   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/thesven/Phi-nut-Butter-Codebagel-v1-GPTQ 

Phi Nut Butter Codebagel V1 GPTQ Benchmarks

LLME Score: 0.18859
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi Nut Butter Codebagel V1 GPTQ (thesven/Phi-nut-Butter-Codebagel-v1-GPTQ)

Phi Nut Butter Codebagel V1 GPTQ Parameters and Internals

Model Type 
code generation
Use Cases 
Areas:
code-related tasks
Primary Use Cases:
instruction-following capabilities for code
Additional Notes 
The model is quantized to 4-bit using GPTQ for code generation tasks.
Input Output 
Input Format:
<|system|> {system_message} <|end|> <|user|> {Prompt) <|end|>
Accepted Modalities:
code, text
Output Format:
text
LLM NamePhi Nut Butter Codebagel V1 GPTQ
Repository 🤗https://huggingface.co/thesven/Phi-nut-Butter-Codebagel-v1-GPTQ 
Model Size683.6m
Required VRAM2.3 GB
Updated2025-02-22
Maintainerthesven
Model Typephi3
Model Files  2.3 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16

Best Alternatives to Phi Nut Butter Codebagel V1 GPTQ

Best Alternatives
Context / RAM
Downloads
Likes
...i 3 Mini 4K Instruct Gptq 4bit4K / 2.3 GB18772
...4K Instruct DPO EPFL GPTQ 4bit4K / 2.3 GB130
...hi 3 Mini 4K Instruct Sft 4bit4K / 2.3 GB1140
Saiga Phi 3 Mini 4K 4bit4K / 2.3 GB1130
Note: green Score (e.g. "73.2") means that the model is better than thesven/Phi-nut-Butter-Codebagel-v1-GPTQ.

Rank the Phi Nut Butter Codebagel V1 GPTQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 43470 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer