codegemma-7b-it How much memory it needs, what its licence allows, and whether it fits an office box.
Short answer. codegemma-7b-it needs about 10 GB of memory at 4-bit, 14 GB at 8-bit and 22 GB at full 16-bit precision, including runtime overhead and an 8,192-token KV cache. It has about 8.5 billion parameters and an 8,192-token context window. Licence in short: commercial use allowed, with conditions. By memory alone, on ANVE’s launch configurations: ANVE One fits at BF16, ANVE Office fits at BF16, ANVE Office Pro (GPU) fits at BF16. These are estimates from its published size, not benchmarks.
01
What it is
codegemma-7b-it is a language model for chat, drafting and question answering, published by Google on Hugging Face on 21 March 2024. It has about 8.5 billion parameters and a configured context window of 8,192 tokens.
Its card lists the licence as Gemma Terms of Use. In short, the licence allow commercial use, subject to Google’s prohibited use policy, and require the terms to be passed on with the model. Access on Hugging Face requires accepting the publisher’s terms first.
Hugging Face counted about 50,934 downloads of it in the 30 days before we checked (7 Oct 2026), and 260 people have liked it there.
02
How much memory it needs
How these figures are worked out: weights = parameters × bits per weight ÷ 8. The KV cache is added for 8,192 tokens of context, plus about 1.5 GB of runtime overhead. Treat the totals as planning estimates.
Each token of context adds about 0.46 MB of KV cache at 16-bit, so 32,768 tokens would add about 15 GB.
Precision
Weights
KV cache (8,192 tokens)
Total, estimated
BF16 (full precision)
17 GB
3.8 GB
22 GB
8-bit (Q8_0)
9.1 GB
3.8 GB
14 GB
4-bit (Q4_K)
4.8 GB
3.8 GB
10 GB
03
Architecture at a glance
Setting
Value in config.json
Architecture class
GemmaForCausalLM
Model type
gemma
Layers
28
Hidden size
3,072
Attention heads
16
Key-value heads
16
Head size
256
Vocabulary
256,000
Configured context
8,192
Stored precision
bfloat16
04
Will it fit on ANVE?
How the verdicts are worked out: on ANVE One, about three quarters of 64 GB of unified memory is available to the model; on ANVE Office and ANVE Office Pro, the model has to fit in the 24 GB on the graphics card, with 64 GB or 128 GB of system memory for everything else. This is arithmetic against the launch specification, not a test. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.
Configuration (at launch)
Memory for the model
Verdict
ANVE One
about 48 GB of 64 GB unified memory
fits at BF16
ANVE Office
24 GB on the RTX PRO 4000 Blackwell SFF Edition
fits at BF16
ANVE Office Pro (GPU)
24 GB on the RTX PRO 4000 Blackwell
fits at BF16
05
What an office would use it for
This size suits quick drafting, classification, extraction and chat over short documents on modest hardware. ANVE pairs a fast 4B-class model with its main model for quick jobs.
06
Similar models to compare
LFM2.5-8B-A1B (8.5B parameters, about 6.3 GB at 4-bit before context; custom licence: check before commercial use)
Mistral-NeMo-Minitron-8B-Instruct (8.4B parameters, about 6.2 GB at 4-bit before context; custom licence: check before commercial use)
granite-4.2-8b (8.8B parameters, about 6.4 GB at 4-bit before context; commercial use allowed)
07
Questions people ask
How much memory does codegemma-7b-it need?
About 10 GB at 4-bit, 14 GB at 8-bit and 22 GB at full 16-bit precision, including an 8,192-token KV cache and about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can codegemma-7b-it run on a 24 GB graphics card?
Yes, at BF16 by this estimate, with room left for context.
Is codegemma-7b-it free for commercial use?
Its card lists Gemma Terms of Use, which allow commercial use, subject to Google’s prohibited use policy, and require the terms to be passed on with the model. Read the licence itself before relying on this summary; it is not legal advice.
What is codegemma-7b-it’s context window?
Its configuration sets 8,192 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.
08
What is not real yet
No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.
Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.
