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Fastcontext 4b Sft Base Function Calling Xlam Unsloth Gguf model by ermiaazarkhalili
⭐ 40.8
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Model

Fastcontext 4b Sft Base Function Calling Xlam Unsloth Gguf

by ermiaazarkhalili ermiaazarkhalili/fastcontext-4b-sft_base-function-calling-xlam-unsloth-gguf
Free2AITools Nexus Index
40.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 12
R: Recency 100
Q: Quality 65
Tech Context
4 Params
4.096K Ctx
Vital Performance
176 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40.8 FNI Score
4B Params
4k Context
176 Downloads
8G GPU ~5GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID ermiaazarkhalili/fastcontext-4b-sft_base-function-calling-xlam-unsloth-gguf
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ermiaazarkhalili_fastcontext_4b_sft_base_function_calling_xlam_unsloth_gguf,
  author = {ermiaazarkhalili},
  title = {Fastcontext 4b Sft Base Function Calling Xlam Unsloth Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ermiaazarkhalili/FastContext-4B-SFT_base-Function-Calling-xLAM-Unsloth-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
ermiaazarkhalili. (2026). Fastcontext 4b Sft Base Function Calling Xlam Unsloth Gguf [Model]. Free2AITools. https://huggingface.co/ermiaazarkhalili/FastContext-4B-SFT_base-Function-Calling-xLAM-Unsloth-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run fastcontext-4b-sft_base-function-calling-xlam-unsloth-gguf
πŸ€— HF Download
huggingface-cli download ermiaazarkhalili/fastcontext-4b-sft_base-function-calling-xlam-unsloth-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 12
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Fastcontext 4b Sft Base Function Calling Xlam Unsloth Gguf: Authority (A:0), Popularity (P:12), Recency (R:100), 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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Technical Deep Dive

⚠️ 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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πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
176Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

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

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--ermiaazarkhalili--fastcontext-4b-sft_base-function-calling-xlam-unsloth-gguf
slug
ermiaazarkhalili--fastcontext-4b-sft_base-function-calling-xlam-unsloth-gguf
source
huggingface
author
ermiaazarkhalili
tags
gguf, llama.cpp, quantized, unsloth, lora, trl, sft, text-generation, dataset:salesforce/xlam-function-calling-60k, base_model:microsoft/fastcontext-1.0-4b-sft, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
4
context length
4,096
pipeline tag
text-generation
vram gb
4.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
176

Data indexed from public sources. Updated daily.