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Model

Granite 4.1 8b Function Calling Xlam Unsloth Gguf

Name: Granite 4.1 8b Function Calling Xlam Unsloth Gguf
Author: ermiaazarkhalili

by ermiaazarkhalili ermiaazarkhalili/granite-4.1-8b-function-calling-xlam-unsloth-gguf

Free2AITools Nexus Index

40.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 10

R: Recency 91

Q: Quality 65

Tech Context

8 Params

4.096K Ctx

Vital Performance

125 DL / 30D

Source →

Task categories from upstream metadata

💬Chat & Dialogue

Technical Constraints

Experimental / High Latency

Low FNI signal 40.4 FNI Score

8B Params

4k Context

125 Downloads

8G GPU ~8GB Est. VRAM

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	ermiaazarkhalili/granite-4.1-8b-function-calling-xlam-unsloth-gguf
License	Apache-2.0
Provider	huggingface

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Compute Threshold

~7.3GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

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* Static estimation for 4-Bit Quantization.

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Cite this model

Academic & Research Attribution

BibTeX

@misc{ermiaazarkhalili_granite_4_1_8b_function_calling_xlam_unsloth_gguf,
  author = {ermiaazarkhalili},
  title = {Granite 4.1 8b Function Calling Xlam Unsloth Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ermiaazarkhalili/Granite-4.1-8B-Function-Calling-xLAM-Unsloth-GGUF}},
  note = {Accessed via Free2AITools.}
}

APA Style

ermiaazarkhalili. (2026). Granite 4.1 8b Function Calling Xlam Unsloth Gguf [Model]. Free2AITools. https://huggingface.co/ermiaazarkhalili/Granite-4.1-8B-Function-Calling-xLAM-Unsloth-GGUF

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run granite-4.1-8b-function-calling-xlam-unsloth-gguf

🤗 HF Download

huggingface-cli download ermiaazarkhalili/granite-4.1-8b-function-calling-xlam-unsloth-gguf

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 10

Recency (R) 91

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Granite 4.1 8b Function Calling Xlam Unsloth Gguf: Authority (A:0), Popularity (P:10), Recency (R:91), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub

125Downloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--ermiaazarkhalili--granite-4.1-8b-function-calling-xlam-unsloth-gguf
slug: ermiaazarkhalili--granite-4.1-8b-function-calling-xlam-unsloth-gguf
source: huggingface
author: ermiaazarkhalili
license: Apache-2.0
tags: gguf, llama.cpp, quantized, unsloth, lora, trl, sft, text-generation, dataset:salesforce/xlam-function-calling-60k, base_model:ibm-granite/granite-4.1-8b, base_model:adapter:ibm-granite/granite-4.1-8b, license:apache-2.0, endpoints_compatible, region:us, conversational

⚙️ Technical Specs

params billions: 8
context length: 4,096
pipeline tag: text-generation
vram gb: 7.3
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 125

Data indexed from public sources. Updated daily.