Models › c4ai-command family

c4ai-command-r7b-12-2024

CohereLabs CC BY-NC 4.0 out 22 months ago

8.03B parameters, text in, text out. 1 provider serves it.

Verified 2026-10-25 Rank #639 in LLMs · score 73.2 method v1 Sources 3 Downloads 30d 5.2k · #541 of 619 tracked

Can I run it?4.8GB at INT4Estimatefits a 16 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?5.2kdownloads, 30 days#541 of 619 we track · below the median+2 likes, downloads −20% this week434 likesHugging Face2026-10-24

Where to run it

Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.

#Cheapest live rowIn /1MOut /1MContextQuantSeen
1 Cohere — — — — Oct 25

All 1 provider →

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.

Served by 1 API provider; 28 quantized builds for local use.

  • As a service1Cohere
  • On own hardware28quantized builds
  • Built on82 fine-tunes · 6 adapters · 0 merges
  • In apps22Hugging Face Spaces

Top Spaces running it: reach-vb/2024-ai-timeline ♥ 467 · VIDraft/RAGOndevice ♥ 16 · aixsatoshi/NewModel-Test-Drive ♥ 5 · Steven10429/apply_lora_and_quantize ♥ 2

Will it fit?

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

Fits a 16 GB card at INT4

About 4.8 GB at INT4, 9.6 GB at FP8, 19 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.8 GB of weights (estimate; KV cache and activations extra)INT44.8 GBFP8: about 9.6 GB of weights (estimate; KV cache and activations extra)FP89.6 GBBF16: about 19 GB of weights (estimate; KV cache and activations extra)BF1619 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.8 GB of weights (estimate; KV cache and activations extra)INT44.8 GBFP8: about 9.6 GB of weights (estimate; KV cache and activations extra)FP89.6 GBBF16: about 19 GB of weights (estimate; KV cache and activations extra)BF1619 GB

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

What people built on it

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

36 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.

28 quantized (Hugging Face model tree)2 fine-tunes (Hugging Face model tree)6 adapters (Hugging Face model tree)28 quantized2 fine-tunes6 adapters
28 quantized (Hugging Face model tree)2 fine-tunes (Hugging Face model tree)6 adapters (Hugging Face model tree)28 quantized2 fine-tunes6 adapters

All variants →

Reference

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

Use-case evidence

4 use cases

What it is good at 4 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

16 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesCohere2ForCausalLM
Model typecohere2
Params by dtypeBF16: 8,028,033,024
Size bandM
MoEno
Gatedauto
PapersarXiv:2504.00698
LicenseCC BY-NC 4.0 (cc-by-nc-4.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · Cohere2ForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · Cohere2ForCausalLM · 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-r7b-12-2024: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)19 GB · Single GPU (<24 GB)
FP8 (1 byte/param)9.6 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)4.8 GB · Single GPU (<24 GB)

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

All variants

36 variants

Lineage

Original model Family: CohereLabs/c4ai-command 36 derivatives on the Hub

quantized: 28finetune: 2adapter: 6

Top variants (36 shown, ranked by downloads)

Relation
Quant
Size
36 rows
Variant Relation Quant Params Band License Author Likes Downloads
bartowski/c4ai-command-r7b-12-2024-GGUF quantized GGUF — — cc-by-nc-4.0 bartowski 16 82.5k
Willy030125/command-r7b-12-2024-gguf quantized gguf — — cc-by-nc-4.0 Willy030125 0 42.9k
matrixportalx/c4ai-command-r7b-12-2024-GGUF quantized GGUF — — cc-by-nc-4.0 matrixportalx 1 11.6k
DevQuasar-6/CohereForAI.c4ai-command-r7b-12-2024-GGUF quantized GGUF — — — DevQuasar-6 7 10.7k
saidutta69/c4ai-command-r7b-12-2024-heretic quantized GGUF 8.03B M other saidutta69 3 5.4k
dranger003/c4ai-command-r7b-12-2024-GGUF quantized GGUF — — cc-by-nc-4.0 dranger003 2 4.1k
oncu/c4ai-command-r7b-12-2024-GGUF quantized GGUF — — cc-by-nc-4.0 oncu 0 3.4k
Svngoku/c4ai-command-r7b-12-2024-4bit quantized -4bit 8.25B M — Svngoku 1 1.8k
mlx-community/c4ai-command-r7b-12-2024-bf16 finetune -bf16 8.03B M cc-by-nc-4.0 mlx-community 4 1.3k
mlx-community/c4ai-command-r7b-12-2024-4bit quantized -4bit 8.03B M cc-by-nc-4.0 mlx-community 0 1.2k
mlx-community/c4ai-command-r7b-12-2024-8bit quantized -8bit 8.03B M cc-by-nc-4.0 mlx-community 0 790
mobilint/c4ai-command-r7b-12-2024 quantized — 1.05B S cc-by-nc-4.0 mobilint 0 715
mlx-community/c4ai-command-r7b-12-2024-3bit quantized — 8.03B M cc-by-nc-4.0 mlx-community 1 658
Akatsuki-Amemiya/Nobihaza-trans-demo quantized GGUF — — other Akatsuki-Amemiya 0 535
mlx-community/c4ai-command-r7b-12-2024-6bit quantized — 8.03B M cc-by-nc-4.0 mlx-community 0 533
Lumia101/c4ai-command-r7b-12-2024-Q4_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 Lumia101 0 454
msyukorai/c4ai-command-r7b-12-2024-Q4_0-GGUF quantized Q4_0 — — cc-by-nc-4.0 msyukorai 0 336
Lumia101/c4ai-command-r7b-12-2024-bnb-4bit quantized -bnb 8.03B M cc-by-nc-4.0 Lumia101 0 303
Lucy-in-the-Sky/c4ai-command-r7b-12-2024-Q8_0-GGUF quantized Q8_0 — — cc-by-nc-4.0 Lucy-in-the-Sky 0 300
ncux/c4ai-command-r7b-12-2024-Q4_0-GGUF quantized Q4_0 — — cc-by-nc-4.0 ncux 0 296
huggingkot/c4ai-command-r7b-12-2024-Q4_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 huggingkot 0 295
turboderp/c4ai-command-r7b-12-2024-exl3 quantized exl3 — — cc-by-nc-4.0 turboderp 1 234
Lucy-in-the-Sky/c4ai-command-r7b-12-2024-IQ3_M-GGUF quantized GGUF — — cc-by-nc-4.0 Lucy-in-the-Sky 0 283
Lucy-in-the-Sky/c4ai-command-r7b-12-2024-Q6_K-GGUF quantized Q6_K — — cc-by-nc-4.0 Lucy-in-the-Sky 0 276
milk639/Miel quantized — 8.03B M cc-by-nc-4.0 milk639 0 254
Anthonyg5005/c4ai-command-r7b-12-2024-exl2 quantized exl2 — — cc-by-nc-4.0 Anthonyg5005 0 218
milk639/Tara quantized — 8.25B M — milk639 0 216
Lucy-in-the-Sky/c4ai-command-r7b-12-2024-Q2_K-GGUF quantized Q2_K — — cc-by-nc-4.0 Lucy-in-the-Sky 0 180
Lucy-in-the-Sky/c4ai-command-r7b-12-2024-Q4_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 Lucy-in-the-Sky 0 172
Niazi/c4ai-command-r7b-12-2024-languages adapter — — — — Niazi 0 63
nqzfaizal77ai/vectoris-impero-reinit-550m-zero finetune — 559M S — nqzfaizal77ai 0 60
Niazi/c4ai-command-r7b-12-2024-Qlora_bengali adapter — — — — Niazi 0 47
Niazi/Cohere-c4ai-command-r7b-12-2024-Sawahili adapter — — — — Niazi 0 46
Niazi/c4ai-command-r7b-12-2024-Thai adapter — — — — Niazi 0 40
Agenix-AI/ARZ-LLM-CHECKPOINTS adapter — — — — Agenix-AI 0 29
rshahbaz/news-summarizer-command-r7b adapter — — — cc-by-nc-4.0 rshahbaz 0 14

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for c4ai-command-r7b-12-2024, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.

ProviderModel refContextQuant$/M in$/M outtok/sTTFTToolsStatusObserved
Cohere
hf
command-r7b-12-2024 — — — — 78.3 229 ms yes live 2026-10-25

Papers

1 paper

Papers 1

arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).

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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:42 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25

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