Models › SOLAR-v1.0 family

SOLAR-10.7B-v1.0

upstage Apache 2.0 out 3 years ago

10.7B parameters, text in, text out, 4K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #625 in LLMs · score 73.5 method v1 Sources 3 Downloads 30d 13.4k · #484 of 619 tracked

Can I run it?6.4GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?13.4kdownloads, 30 days#484 of 619 we track · below the median+0 likes, downloads −1% this week324 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 Featherless — — — — 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; 21 quantized builds for local use; a big base for builders (60 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware21quantized builds
  • Built on6041 fine-tunes · 9 adapters · 10 merges
  • In apps10Hugging Face Spaces

Top Spaces running it: mayafree/Model-Genome-Korea ♥ 33 · Yeyito/llm_contamination_detector ♥ 27 · CATIE-AQ/Guide_Evaluation_LLM ♥ 5 · officialhimanshu595/llama-factory ♥ 4

Will it fit?

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

Fits a 16 GB card at INT4

About 6.4 GB at INT4, 13 GB at FP8, 26 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 6.4 GB of weights (estimate; KV cache and activations extra)INT46.4 GBFP8: about 13 GB of weights (estimate; KV cache and activations extra)FP813 GBBF16: about 26 GB of weights (estimate; KV cache and activations extra)BF1626 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 6.4 GB of weights (estimate; KV cache and activations extra)INT46.4 GBFP8: about 13 GB of weights (estimate; KV cache and activations extra)FP813 GBBF16: about 26 GB of weights (estimate; KV cache and activations extra)BF1626 GB

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

The story so far

Weights, every dated article, and repo commits on one rail.

19 repo commits since the weights landed

Teal is the weights (2023-12-12), grey ticks are repo commits.

JanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-10: 1 repo commit2024-02-22: 2 repo commits2023-12-28: 1 repo commit2023-12-27: 1 repo commit2023-12-26: 1 repo commit2023-12-25: 2 repo commits2023-12-23: 2 repo commits2023-12-14: 1 repo commit2023-12-13: 3 repo commits2023-12-12: 5 repo commitsWeights 2023-12-12 · 2023-12-12Weights 2023-12-12now · 1 provider
JanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-09-10: 1 repo commit2024-02-22: 2 repo commits2023-12-28: 1 repo commit2023-12-27: 1 repo commit2023-12-26: 1 repo commit2023-12-25: 2 repo commits2023-12-23: 2 repo commits2023-12-14: 1 repo commit2023-12-13: 3 repo commits2023-12-12: 5 repo commitsWeights 2023-12-12 · 2023-12-12Weights 2023-12-12now · 1 provider

What people built on it

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

81 derivatives on the Hub, most of them fine-tunes

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

21 quantized (Hugging Face model tree)41 fine-tunes (Hugging Face model tree)10 merges (Hugging Face model tree)9 adapters (Hugging Face model tree)21 quantized41 fine-tunes10 merges9 adapters
21 quantized (Hugging Face model tree)41 fine-tunes (Hugging Face model tree)10 merges (Hugging Face model tree)9 adapters (Hugging Face model tree)21 quantized41 fine-tunes10 merges9 adapters

All variants →

Reference

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

Benchmarks

2 rows

Benchmarks 2 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (2)No confidence intervals unless the source gave them; settings differ between rows, so compare within a benchmark, not across. Date = the benchmark's own date when it gives one, else when we read it.
BenchmarkValueSetting / notesReported byDate
author-reported H674.2SOLAR-10.7B-Instruct-v1.0model author2026-10-07
author-reported H666.04SOLAR-10.7B-v1.0model author2026-10-07

What the card says

1 cited sentence

Summary generated, cited

The model uses a depth up-scaling methodology that integrates Mistral 7B weights into upscaled layers.[1]

  1. “integrated Mistral 7B weights into the upscaled layers”

Generated 2026-10-07 15:13 UTC by parasail-gemma-4-26b-a4b-it; each numeral points at the fact it rests on. Not a verdict.

Use-case evidence

1 use case

What it is good at 1 use case

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

20 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesLlamaForCausalLM
Model typellama
Dtypefloat16
Params by dtypeF16: 10,731,524,096
Size bandL
MoEno
Context length4,096 (config.json max_position_embeddings)
PapersarXiv:2312.15166
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 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 SOLAR-10.7B-v1.0: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)26 GB · Single high-end GPU (<80 GB)
FP8 (1 byte/param)13 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)6.4 GB · Single GPU (<24 GB)

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

All variants

40 variants

Lineage

Original model Family: upstage/SOLAR-v1.0 81 derivatives on the Hub

finetune: 41quantized: 21merge: 10adapter: 9

Top variants (40 shown, ranked by downloads)

Relation
Quant
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
yanolja/YanoljaNEXT-EEVE-10.8B finetune — 10.8B L apache-2.0 yanolja 92 526.3k
NousResearch/Nous-Hermes-2-SOLAR-10.7B finetune — 10.7B L apache-2.0 NousResearch 210 421k
nlpai-lab/KULLM3 finetune — 10.7B L apache-2.0 nlpai-lab 49 85.3k
Featherless-Chat-Models/SOLAR-10.7B-Instruct-v1.0 finetune — 10.7B L cc-by-nc-4.0 Featherless-Chat-Models 0 67.7k
yanolja/KoSOLAR-10.7B-v0.2 finetune — 10.8B L apache-2.0 yanolja 34 50.1k
jieunhan/TEST_MODEL finetune — 19.3B L apache-2.0 jieunhan 0 33.5k
tanitan2/SOLAR-10.7B-Instruct-STOCK_SOLAR-ties finetune — 10.7B L cc-by-nc-4.0 tanitan2 0 30.2k
beomi/Solar-Ko-Recovery-11B finetune — 11.0B L apache-2.0 beomi 24 24.5k
TheBloke/SOLAR-10.7B-v1.0-GGUF quantized GGUF — — apache-2.0 TheBloke 14 20.3k
CallComply/SOLAR-10.7B-Instruct-v1.0-128k finetune — 10.7B L cc-by-nc-4.0 CallComply 3 15.1k
ihopper/I-SOLAR-10.7B-dpo-sft-v1.0 finetune — 10.7B L apache-2.0 ihopper 1 14.6k
ihopper/I-SOLAR-10.7B-sft-v1.0 finetune — 10.7B L apache-2.0 ihopper 0 12.9k
mradermacher/SOLAR-10.7B-v1.0-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 0 11.5k
QuantFactory/SOLAR-10.7B-Instruct-v1.0-GGUF quantized GGUF — — cc-by-nc-4.0 QuantFactory 1 10.4k
dustydecapod/Jovian-10.7B-v1.0 finetune — 10.7B L apache-2.0 dustydecapod 1 8.9k
mradermacher/SOLAR-10.7B-v1.0-GGUF quantized GGUF — — apache-2.0 mradermacher 0 8.7k
chlee10/T3Q-platypus-SOLAR-10.7B-v1.0 finetune — — — apache-2.0 chlee10 0 8.3k
chlee10/T3Q-Platypus-SOLAR finetune — — — apache-2.0 chlee10 0 8.2k
QuantFactory/KULLM3-GGUF quantized GGUF — — apache-2.0 QuantFactory 2 5.3k
MarsupialAI/Aqueducts-18B_iMatrix_GGUF quantized iMatrix — — cc-by-nc-4.0 MarsupialAI 3 5.2k
QuantFactory/KoSOLAR-10.7B-v0.2-GGUF quantized GGUF — — apache-2.0 QuantFactory 1 4.6k
srs6901/GGUF-SOLARized-GraniStral-14B_2102_YeAM-HCT_32QKV merge GGUF — — apache-2.0 srs6901 0 3.9k
DimensionSTP/Solar-Ko-Recovery-11B-scientific-qa finetune — 10.7B L apache-2.0 DimensionSTP 0 2.8k
tensorblock/SOLAR-10.7B-v1.0-GGUF quantized GGUF — — apache-2.0 tensorblock 0 2.2k
srs6901/GGUF-SOLARized-GraniStral-14B_2202_YeAM-HCT_X45QKV merge GGUF — — apache-2.0 srs6901 0 2.2k
featherless-ai-quants/upstage-SOLAR-10.7B-v1.0-GGUF quantized GGUF — — — featherless-ai-quants 0 1.4k
srs6901/SOLARized-GraniStral-14B_2102_YeAM-HCT_32QKV merge GGUF 13.9B L apache-2.0 srs6901 0 1k
TheBloke/SOLAR-10.7B-v1.0-GPTQ quantized GPTQ 10.7B L apache-2.0 TheBloke 2 831
TheBloke/SOLAR-10.7B-v1.0-AWQ quantized AWQ 10.7B L apache-2.0 TheBloke 1 737
mlx-community/Nous-Hermes-2-SOLAR-10.7B-mlx finetune mlx — — apache-2.0 mlx-community 0 617
RefalMachine/ruadapt_solar_10.7_part1 finetune — 10.7B L — RefalMachine 0 594
MarsupialAI/Aqueducts-18B finetune — 17.7B L cc-by-nc-4.0 MarsupialAI 5 306
v000000/SyntheticMoist-11B merge — 10.7B L — v000000 1 477
srs6901/SOLARized-GraniStral-14B_1902_YeAM-HCT merge GGUF 13.9B L apache-2.0 srs6901 0 494
LoneStriker/Nous-Hermes-2-SOLAR-10.7B-6.0bpw-h6-exl2 finetune 0bpw — — apache-2.0 LoneStriker 4 288
mlx-community/SOLAR-10.7B-Instruct-v1.0-4bit finetune -4bit — — cc-by-nc-4.0 mlx-community 0 453
cgus/SOLAR-10.7B-Instruct-v1.0-128k-exl2 finetune exl2 — — cc-by-nc-4.0 cgus 1 374
LoneStriker/Nous-Hermes-2-SOLAR-10.7B-8.0bpw-h8-exl2 finetune 0bpw — — apache-2.0 LoneStriker 3 269
timpal0l/sol finetune — 10.7B L apache-2.0 timpal0l 0 351
fdisk/SOLAR-10.7B-Instruct-v1.0-Q4_K_M-GGUF quantized GGUF — — cc-by-nc-4.0 fdisk 1 294

Repository changelog

19 commits

Repository changelog 19 commits

DateCommitSHA
2024-09-10 Update README.md 5a06298
2024-02-22 Update the href URL link a45090b
2024-02-22 Update README.md 52e05c5
2023-12-28 Update README.md 399afd2
2023-12-27 Update README.md 2f4ae82
2023-12-26 Update README.md 1b9ad43
2023-12-25 Update README.md fbd7cd1
2023-12-25 Upload solar_logo.png 03434d7
2023-12-23 Update README.md d795fe1
2023-12-23 Update README.md c90fb13
2023-12-14 Add license section 9b879c7
2023-12-13 Update README.md 7fcda3e
2023-12-13 Update README.md 04b884b
2023-12-13 Update README.md 345cbf8
2023-12-12 Update README.md 6e27838
2023-12-12 Update README.md 15c954b
2023-12-12 Update README.md 6853712
2023-12-12 Add v1.0 files a0667e9
2023-12-12 initial commit c78e13a

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for SOLAR-10.7B-v1.0, 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
Featherless
hf
upstage/SOLAR-10.7B-v1.0 — — — — — — — 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).

Similar models

3 models

Similar models

  • Llama-3.1-8B-Instruct · 8.03B
    same task (text-generation), more providers
  • gemma-2-9b-it · 9.24B
    same size band (L), same task (text-generation), more providers
  • Qwen3-8B · 8.19B
    same task (text-generation), more providers, permissive license

Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:41 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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