EXAONE-3.0-7.8B-Instruct
LGAI-EXAONE exaone out 2 years ago
7.82B parameters, text in, text out.
Verified 2026-10-25 Rank #750 in LLMs · score 71.5 method v1 Sources 3 Downloads 30d 14.6k · #480 of 619 tracked
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: 9 quantized builds and 14 Spaces.
- As a service0no API provider listed
- On own hardware9quantized builds
- Built on84 fine-tunes · 4 adapters · 0 merges
- In apps14Hugging Face Spaces
Top Spaces running it: Steven10429/apply_lora_and_quantize ♥ 2 · ArthurZ/transformers-triage ♥ 1
Will it fit?
Weights only, an estimate: leave room for the KV cache. Method
Fits a 16 GB card at INT4
About 4.7 GB at INT4, 9.4 GB at FP8, 19 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
What people built on it
17 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
17 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.
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
16 fields
Listed in LLMs
Facts
- EXAONE-3.0-7.8B-Instruct has 7.82B parameters. (safetensors metadata, observed 2026-10-24)
- License: exaone (friction: review). Custom license; read the repo LICENSE before commercial hosting. (license file, observed 2026-10-24)
- Created 2024-07-31, last modified 2024-08-08. (HF API, observed 2026-10-24)
- Access is gated on Hugging Face (auto). (HF API, observed 2026-10-24)
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | ExaoneForCausalLM |
| Model type | exaone |
| Params by dtype | F32: 7,818,448,896 |
| Size band | M |
| MoE | no |
| Gated | auto |
| Papers | arXiv:2408.03541 |
| License | exaone (other) |
| Hub snapshot | 2026-10-25 |
Servability
vLLM · SGLang
Servability
vLLM: supported · ExaoneForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · ExaoneForCausalLM · 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 EXAONE-3.0-7.8B-Instruct: 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) | 9.4 GB · Single GPU (<24 GB) |
| INT4 (0.5 bytes/param) | 4.7 GB · Single GPU (<24 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
All variants
17 variants
Lineage
quantized: 9adapter: 4finetune: 4
Top variants (17 shown, ranked by downloads)
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| bartowski/EXAONE-3.0-7.8B-Instruct-GGUF | quantized | GGUF | — | — | other | bartowski | 9 | 29k |
| mradermacher/EXAONE-3.0-7.8B-Instruct-i1-GGUF | quantized | GGUF | — | — | other | mradermacher | 0 | 8.4k |
| second-state/EXAONE-3.0-7.8B-Instruct-GGUF | quantized | GGUF | — | — | other | second-state | 1 | 6.9k |
| mradermacher/EXAONE-3.0-7.8B-Instruct-GGUF | quantized | GGUF | — | — | other | mradermacher | 0 | 3.6k |
| gaianet/EXAONE-3.0-7.8B-Instruct-GGUF | quantized | GGUF | — | — | other | gaianet | 0 | 3.3k |
| DevQuasar-3/LGAI-EXAONE.EXAONE-3.0-7.8B-Instruct-GGUF | quantized | GGUF | — | — | — | DevQuasar-3 | 1 | 2k |
| swchoi1994/exaone3.0-8b-gguf | quantized | gguf | — | — | apache-2.0 | swchoi1994 | 0 | 655 |
| itlwas/EXAONE-3.0-7.8B-Instruct-Q4_K_M-GGUF | quantized | GGUF | — | — | other | itlwas | 0 | 376 |
| Toastmachine/exaone_CSAT_test | adapter | — | — | — | other | Toastmachine | 0 | 68 |
| hmlee/exaone_pruned | finetune | — | 6.40B | M | — | hmlee | 1 | 1 |
| yoyomo/exaone_mental_pretrained | finetune | — | 7.82B | M | other | yoyomo | 0 | 48 |
| Roseshmay/led-qa-exaone-3.0-7.8b-lora | adapter | — | — | — | — | Roseshmay | 0 | 36 |
| Toastmachine/exaone_CSAT_ORPO | adapter | — | — | — | other | Toastmachine | 0 | 13 |
| hmlee/exaone_prune_sft | finetune | — | 6.40B | M | — | hmlee | 0 | 1 |
| hmlee/exaone_prune_sftv4_int4 | quantized | — | 6.40B | M | — | hmlee | 0 | 1 |
| heongjun127/results | finetune | — | — | — | — | heongjun127 | 0 | 0 |
| LINKER98/CareerBoostAI | adapter | — | 7.82B | M | other | LINKER98 | 0 | 0 |
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).
Similar models
3 models
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- Llama-3.1-8B-Instruct · 8.03B same size band (M), same task (text-generation), more providers
- Qwen2.5-7B-Instruct · 7.62B same size band (M), same task (text-generation), more providers, permissive license
- Qwen3-8B · 8.19B same size band (M), same task (text-generation), more providers, permissive license
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 15:14 UTC · Last verified 2026-10-25
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