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

Xlam Finetuned by neural-coder

 »  All LLMs  »  neural-coder  »  Xlam Finetuned   URL Share it on

  1038   
  Autotrain   Autotrain compatible Base model:finetune:salesforce... Base model:salesforce/llama-xl...   Conversational   Endpoints compatible   Finetuned   Llama   Peft   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/neural-coder/xlam-finetuned 

Xlam Finetuned Benchmarks

LLME Score: 0.28399
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Xlam Finetuned (neural-coder/xlam-finetuned)
🌟 Advertise your project 🚀

Xlam Finetuned Parameters and Internals

LLM NameXlam Finetuned
Repository 🤗https://huggingface.co/neural-coder/xlam-finetuned 
Base Model(s)  Llama XLAM 2 8B Fc R   Salesforce/Llama-xLAM-2-8b-fc-r
Model Size8b
Required VRAM16.1 GB
Updated2025-07-15
Maintainerneural-coder
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16

Best Alternatives to Xlam Finetuned

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB14540115
UltraLong Thinking4192K / 16.1 GB10302
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB121315
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
Zero Llama 3.1 8B Beta61048K / 16.1 GB10171
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB187547
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB254
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than neural-coder/xlam-finetuned.

Rank the Xlam Finetuned 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? 49755 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 v20241124
  Support LLM Explorer