Models › c4ai-command family

c4ai-command-r-v01

CohereLabs CC BY-NC 4.0 out 3 years ago

35.0B parameters, text in, text out.

Verified 2026-10-25 Rank #728 in LLMs · score 71.7 method v1 Sources 3 Downloads 30d 3.8k · #559 of 619 tracked

Can I run it?21GB at INT4Estimatefits a 24 GB cardmethod
Can I use it?CC BY-NC 4.0Non-commercial only; commercial hosting not permitted without a separate licenselicence file2026-10-24
Do people use it?3.8kdownloads, 30 days#559 of 619 we track · below the median+1 likes, downloads −94% this week1,126 likesHugging Face2026-10-24

Where it's used

Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.

No API provider serves it, so its downloads are people running it themselves: 16 quantized builds and 100 Spaces.

  • As a service0no API provider listed
  • On own hardware16quantized builds
  • Built on97 fine-tunes · 2 adapters · 0 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: pliny-the-prompter/obliteratus ♥ 621 · Tonic/Command-R ♥ 15 · AFischer1985/AI-RAG-Interface-to-Hub ♥ 8 · awacke1/Deepseek-HPC-GPU-KEDA ♥ 5

Will it fit?

Weights only, an estimate: leave room for the KV cache. Method

Fits a 64 GB Mac (unified memory) at INT4

About 21 GB at INT4, 42 GB at FP8, 84 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 21 GB of weights (estimate; KV cache and activations extra)INT421 GBFP8: about 42 GB of weights (estimate; KV cache and activations extra)FP842 GBBF16: about 84 GB of weights (estimate; KV cache and activations extra)BF1684 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 21 GB of weights (estimate; KV cache and activations extra)INT421 GBFP8: about 42 GB of weights (estimate; KV cache and activations extra)FP842 GBBF16: about 84 GB of weights (estimate; KV cache and activations extra)BF1684 GB

Estimate params × bytes per param × 1.2 · how we estimate

What people built on it

25 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.

25 derivatives on the Hub, most of them quantized

From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.

16 quantized (Hugging Face model tree)7 fine-tunes (Hugging Face model tree)2 adapters (Hugging Face model tree)16 quantized7 fine-tunes2 adapters
16 quantized (Hugging Face model tree)7 fine-tunes (Hugging Face model tree)2 adapters (Hugging Face model tree)16 quantized7 fine-tunes2 adapters

All variants →

Reference

Everything else, folded: the full tables, every source.

Use-case evidence

2 use cases

What it is good at 2 use cases

Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.

Facts

15 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesCohereForCausalLM
Model typecohere
Params by dtypeF16: 34,980,831,232
Size bandL
MoEno
Gatedauto
LicenseCC BY-NC 4.0 (cc-by-nc-4.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · CohereForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · CohereForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed

vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for c4ai-command-r-v01: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)84 GB · Multi-GPU node (<640 GB)
FP8 (1 byte/param)42 GB · Single high-end GPU (<80 GB)
INT4 (0.5 bytes/param)21 GB · Single GPU (<24 GB)

Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.

All variants

25 variants

Lineage

Original model Family: CohereLabs/c4ai-command 25 derivatives on the Hub

quantized: 16finetune: 7adapter: 2

Top variants (25 shown, ranked by downloads)

Relation
Quant
Size
25 rows
Variant Relation Quant Params Band License Author Likes Downloads
DavidAU/Command-R-01-Ultra-NEO-V1-35B-IMATRIX-GGUF quantized IMATRIX — — apache-2.0 DavidAU 27 118.2k
DavidAU/Command-R-01-Ultra-NEO-DARK-HORROR-V1-V2-35B-IMATRIX-GGUF quantized IMATRIX — — apache-2.0 DavidAU 31 111.9k
qwp4w3hyb/c4ai-command-r-v01-iMat-GGUF quantized GGUF — — cc-by-nc-4.0 qwp4w3hyb 13 56.3k
dranger003/c4ai-command-r-v01-iMat.GGUF quantized GGUF — — cc-by-nc-4.0 dranger003 27 38.4k
second-state/C4AI-Command-R-v01-GGUF quantized GGUF — — cc-by-nc-4.0 second-state 1 21.3k
mradermacher/c4ai-command-r-v01-i1-GGUF quantized GGUF — — cc-by-nc-4.0 mradermacher 3 17.9k
mradermacher/c4ai-command-r-v01-GGUF quantized GGUF — — cc-by-nc-4.0 mradermacher 1 13.4k
backyardai/c4ai-command-r-v01-GGUF quantized GGUF — — cc-by-nc-4.0 backyardai 0 12.7k
Aratako/c4ai-command-r-v01-japanese-instruct finetune — 35.0B L cc-by-nc-sa-4.0 Aratako 4 8.4k
DevQuasar/CohereLabs.c4ai-command-r-v01-GGUF quantized GGUF — — — DevQuasar 1 3.2k
newsletter/c4ai-command-r-v01-Q4_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 newsletter 1 2.9k
tensorblock/c4ai-command-r-v01-GGUF quantized GGUF — — cc-by-nc-4.0 tensorblock 1 2.9k
jukofyork/command-r-35b-writer-v2 finetune — 35.0B L cc-by-nc-4.0 jukofyork 0 678
jukofyork/command-r-35b-writer-v3 finetune — 35.0B L cc-by-nc-4.0 jukofyork 3 363
ggnoy/c4ai-command-r-v01-Q5_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 ggnoy 0 373
Lucy-in-the-Sky/c4ai-command-r-v01-Q4_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 Lucy-in-the-Sky 0 343
jukofyork/command-r-35b-writer finetune — 35.0B L cc-by-nc-4.0 jukofyork 1 253
Citaman/command-r-39-layer finetune — 36.3B XL — Citaman 0 228
Lucy-in-the-Sky/c4ai-command-r-v01-Q8_0-GGUF quantized Q8_0 — — cc-by-nc-4.0 Lucy-in-the-Sky 0 154
Downtown-Case/jukofyork_command-r-35b-writer-v3-exl3-3.75bpw-hb6 quantized exl3 10.6B L cc-by-nc-4.0 Downtown-Case 1 99
ubitech-edg/commandr-35b-cpt adapter — 35.0B L apache-2.0 ubitech-edg 0 70
ubitech-edg/commandr-35b-sft adapter — 35.0B L apache-2.0 ubitech-edg 0 53
TNT3530/Command-R-q4f16_1-MLC quantized — — — — TNT3530 0 0
gghfexp/c4ai-command-r-jlens finetune — — — cc-by-nc-4.0 gghfexp 0 0
gghfez/c4ai-command-r-v01-jacobian-lens finetune — — — cc-by-nc-4.0 gghfez 0 0

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:39 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:11 UTC · Last verified 2026-10-25

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