Tournament Tourn 707626400fba5fba 20260525 766f89e7 83eb 486B 8feb Ee84fab5469d 5FBmn1ax by gradients-io-tournaments

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Tournament Tourn 707626400fba5fba 20260525 766f89e7 83eb 486B 8feb Ee84fab5469d 5FBmn1ax is an open-source language model by gradients-io-tournaments. Features: 7b LLM, VRAM: 1.3GB, Instruction-Based, Code Generating, LLM Explorer Score: 0.27.

  Arxiv:1910.09700 Base model:adapter:/cache/mode... Base model:adapter:codellama/c... Base model:codellama/codellama...   Codegen   Conversational   Instruct   Lora   Peft   Region:us   Safetensors   Sft   Trl

Tournament Tourn 707626400fba5fba 20260525 766f89e7 83eb 486B 8feb Ee84fab5469d 5FBmn1ax Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Tournament Tourn 707626400fba5fba 20260525 766f89e7 83eb 486B 8feb Ee84fab5469d 5FBmn1ax Parameters and Internals

LLM NameTournament Tourn 707626400fba5fba 20260525 766f89e7 83eb 486B 8feb Ee84fab5469d 5FBmn1ax
Repository 🤗https://huggingface.co/gradients-io-tournaments/tournament-tourn_707626400fba5fba_20260525-766f89e7-83eb-486b-8feb-ee84fab5469d-5FBmn1ax 
Base Model(s)  CodeLlama 7B Instruct Hf   codellama/CodeLlama-7b-Instruct-hf
Model Size7b
Required VRAM1.3 GB
Updated2026-05-27
Maintainergradients-io-tournaments
Instruction-BasedYes
Model Files  1.3 GB   0.0 GB
Generates CodeYes
Model ArchitectureAutoModel
Is Biasednone
Tokenizer ClassCodeLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|up_proj|o_proj|q_proj|down_proj|gate_proj|v_proj
LoRA Alpha512
LoRA Dropout0.1
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than gradients-io-tournaments/tournament-tourn_707626400fba5fba_20260525-766f89e7-83eb-486b-8feb-ee84fab5469d-5FBmn1ax.

Rank the Tournament Tourn 707626400fba5fba 20260525 766f89e7 83eb 486B 8feb Ee84fab5469d 5FBmn1ax 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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Release v20260328a