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Bobcat Flash 1.1 Fp8 model by Sanghwa Na
⭐ 39
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Model

Bobcat Flash 1.1 Fp8

by Sanghwa Na sanghwa-na/bobcat-flash-1.1-fp8
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 98
Q: Quality 65
Tech Context
25.81 Params
8.192K Ctx
Vital Performance
32 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
25.81B Params
8k Context
32 Downloads
24G GPU ~21GB Est. VRAM
Dense GEMMA4FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID sanghwa-na/bobcat-flash-1.1-fp8
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~20.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{sanghwa_na_bobcat_flash_1_1_fp8,
  author = {Sanghwa Na},
  title = {Bobcat Flash 1.1 Fp8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/sanghwa-na/bobcat-flash-1.1-fp8}},
  note = {Accessed via Free2AITools.}
}
APA Style
Sanghwa Na. (2026). Bobcat Flash 1.1 Fp8 [Model]. Free2AITools. https://huggingface.co/sanghwa-na/bobcat-flash-1.1-fp8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run bobcat-flash-1.1-fp8
πŸ€— HF Download
huggingface-cli download sanghwa-na/bobcat-flash-1.1-fp8
πŸ“¦ Install Lib
pip install -U transformers

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) 3
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Bobcat Flash 1.1 Fp8: Authority (A:0), Popularity (P:3), Recency (R:98), 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.

View Original Source β†’

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.

Social Proof

HuggingFace Hub
32Downloads
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--sanghwa-na--bobcat-flash-1.1-fp8
slug
sanghwa-na--bobcat-flash-1.1-fp8
source
huggingface
author
Sanghwa Na
license
Apache-2.0
tags
transformers, safetensors, gemma4, image-text-to-text, typed-decisions, fp8, compressed-tensors, vllm, mixture-of-experts, classification, guardrails, zero-shot-classification, en, ko, base_model:sanghwa-na/bobcat-flash-1.1, base_model:quantized:sanghwa-na/bobcat-flash-1.1, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Gemma4ForConditionalGeneration
params billions
25.81
context length
8,192
pipeline tag
zero-shot-classification
vram gb
20.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
32

Data indexed from public sources. Updated daily.