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Xlam Finetuned by neural-coder

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

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Xlam Finetuned is an open-source language model by neural-coder. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Fine-Tuned, LLM Explorer Score: 0.19.

  Autotrain 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: 0.19223
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)
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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
Updated2026-04-20
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

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...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
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...otron 8B UltraLong 2M Instruct2096K / 32.1 GB12017
Cthulhu 8B V1.41048K / 16.1 GB129
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB205957
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB174
Zero Llama 3.1 8B Beta61048K / 16.1 GB41
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  

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