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Falcoder 7B by mrm8488

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Falcoder 7B is an open-source language model by mrm8488. Features: 7b LLM, VRAM: 13.8GB, License: apache-2.0, LLM Explorer Score: 0.09.

  Code   Coding   Custom code Dataset:huggingfaceh4/codealpa...   Doi:10.57967/hf/0789   Endpoints compatible   Generated from trainer   Pytorch   Refinedwebmodel   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/mrm8488/falcoder-7b 

Falcoder 7B Benchmarks

LLME Score: 0.08936
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcoder 7B (mrm8488/falcoder-7b)
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Falcoder 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
coding
Applications:
code completion, code generation
Primary Use Cases:
Instruction-following code generation
Limitations:
May generate incorrect code, Might require further fine-tuning for specific tasks
Additional Notes 
Fine-tuned for instruction-following task in code generation
Supported Languages 
primary (code), others ()
Training Details 
Data Sources:
HuggingFaceH4/CodeAlpaca_20K
Data Volume:
20K instruction data
Methodology:
QLoRA with PEFT
Input Output 
Input Format:
Instruction with prompt
Accepted Modalities:
text
Output Format:
Generated text (code)
Performance Tips:
Utilize a powerful GPU for optimal performance
LLM NameFalcoder 7B
Repository 🤗https://huggingface.co/mrm8488/falcoder-7b 
Model Size7b
Required VRAM13.8 GB
Updated2026-05-15
Maintainermrm8488
Model TypeRefinedWebModel
Model Files  9.9 GB: 1-of-2   3.9 GB: 2-of-2
Supported Languagescode
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.31.0.dev0
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Aguila Falcon InstruCATPlus2K / 13.7 GB100
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Falcon Aguila Meteocat2K / 13.7 GB220
Testing6000v20K / 15.1 GB90
Ct2 Int8 Falcon 7B Instruct0K /  GB70
...ce Falcon 7b Sharded Quantized0K / 13.8 GB93
...ce Falcon 7b Sharded Quantized0K / 13.8 GB51
Falcon 7b Python Instructions0K / 13.8 GB171
Note: green Score (e.g. "73.2") means that the model is better than mrm8488/falcoder-7b.

Rank the Falcoder 7B 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  

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