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function-calling-v1

Fireworks AIhuggingface.co/fireworks-ai/function-calling-v1

Open in Graph
data quality50

Updated 7 h ago · first seen 11 Sept 2026

model_01M294YDCA6TRQJNQFC0W51K09

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hardware fit37

Estimated

32 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—27.4 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—27.4 GB est.Yes
Apple M2 Ultra4bit—27.4 GB est.Yes
Apple M1 Ultra4bit—27.4 GB est.Yes
Apple M3 Max4bit—27.4 GB est.Yes
Apple M4 Max4bit—27.4 GB est.Yes
Mac Studio (Apple M5 Max)4bit—27.4 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—27.4 GB est.Yes
Apple M2 Max4bit—27.4 GB est.Yes
Apple M1 Max4bit—27.4 GB est.Yes
Apple M4 Pro4bit—27.4 GB est.Yes
Mac mini (Apple M5 Pro)4bit—27.4 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—27.4 GB est.Yes
Apple M3 Pro4bit—27.4 GB est.Yes
Apple M1 Pro4bit—27.4 GB est.Yes
Apple M2 Pro4bit—27.4 GB est.Yes
Apple M44bit—27.4 GB est.Yes
iMac (Apple M4)4bit—27.4 GB est.Yes
Mac mini (Apple M6)4bit—27.4 GB est.Yes
MacBook Air (Apple M5)4bit—27.4 GB est.Yes
MacBook Pro (Apple M5)4bit—27.4 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB27.4 GB est.Yes
NVIDIA A100 80GB4bit80 GB27.4 GB est.Yes
NVIDIA H100 SXM4bit80 GB27.4 GB est.Yes
NVIDIA H100 NVL4bit94 GB27.4 GB est.Yes
NVIDIA DGX Spark4bit128 GB27.4 GB est.Yes
NVIDIA H2004bit141 GB27.4 GB est.Yes
NVIDIA H200 NVL4bit141 GB27.4 GB est.Yes
NVIDIA B2004bit180 GB27.4 GB est.Yes
AMD Instinct MI300X4bit192 GB27.4 GB est.Yes
AMD Instinct MI325X4bit256 GB27.4 GB est.Yes
NVIDIA DGX B2004bit1,440 GB27.4 GB est.Yes
Apple M24bit—27.4 GB est.No
Apple M34bit—27.4 GB est.No
Apple M14bit—27.4 GB est.No
NVIDIA GeForce RTX 30904bit24 GB27.4 GB est.No
NVIDIA GeForce RTX 40904bit24 GB27.4 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).

Papers1

Timeline1

Full timeline →

Change history17

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 1 Jan 2025 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

function-calling-v1 was not yet in AI Atlas on 1 Jan 2025

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
17 claims · 17 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
17 Feb 2024 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

Claim history for Architecture
ValueValid from → toStatusSourceConfidenceExtractor
MixtralForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
46.7B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
93.4 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
fireworks-ai/function-calling-v1 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

Claim history for Pipeline tag
ValueValid from → toStatusSourceConfidenceExtractor
text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

Claim history for Model card
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/fireworks-ai/function-calling-v1 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
17 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

Claim history for Likes
ValueValid from → toStatusSourceConfidenceExtractor
0 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Gatedgated1

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ValueValid from → toStatusSourceConfidenceExtractor
No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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ValueValid from → toStatusSourceConfidenceExtractor
2024-02-17T01:28:13+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

Claim history for Library name
ValueValid from → toStatusSourceConfidenceExtractor
transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
ValueValid from → toStatusSourceConfidenceExtractor
31 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

Claim history for Model type
ValueValid from → toStatusSourceConfidenceExtractor
mixtral → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, mixtral, text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
F16 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

17

Source tiers

T217

Freshest observation

7 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=fireworks-ai&p=0&sort=downloads listingT2· Quality secondary7 h ago6
Hugging Face Hub (public pages, model cards, papers)huggingface.co/fireworks-ai/function-calling-v1/raw/main/README.md model_cardT2· Quality secondary7 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/fireworks-ai/function-calling-v1 model_pageT2· Quality secondary8 h ago4

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (50/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →