Models › openchat-3.5 family

openchat Apache 2.0 out 3 years ago

Text in, text out, 8K tokens of context. 1 provider serves it.

Verified 2026-10-25 Rank #487 in LLMs · score 76.9 method v1 Sources 3 Downloads 30d 715 · #602 of 619 tracked

Can I use it?Apache 2.0Permissive; patent grantlicence file2026-10-24
Do people use it?715downloads, 30 days#602 of 619 we track · below the median+2 likes, downloads +4% this week1,145 likesHugging Face2026-10-24

Worth reading

Picked by rule from 3 tracked pieces: the lab's own post, the most shared, a field report, the latest.

3 best of 3 tracked

The 1 pick above, plus these 2. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.

  1. DiscussionOpenChat-3.5-1210: Best Open Source 7B LLMtwitter.com · 2023-12-22 · 3 HN pts
  2. DiscussionOpen Chat 3.5old.reddit.com · 2023-11-03 · 1 HN pts

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; 13 quantized builds for local use; a big base for builders (52 fine-tunes, adapters and merges).

  • As a service1Featherless
  • On own hardware13quantized builds
  • Built on5228 fine-tunes · 17 adapters · 7 merges
  • In apps100+Hugging Face Spaces

Top Spaces running it: radinhas/hf-llm-api ♥ 14 · NiansuhAI/Main ♥ 10 · sepioo/facebook-translation ♥ 10 · CATIE-AQ/Guide_Evaluation_LLM ♥ 5

The story so far

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

3 dated articles and 30 repo commits so far

Teal is the weights (2023-10-30), amber triangles are 3 dated articles (each links to it), grey ticks are repo commits.

NovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-05-18: 1 repo commit2024-05-07: 1 repo commit2023-12-24: 1 repo commit2023-12-13: 1 repo commit2023-12-08: 2 repo commits2023-11-23: 1 repo commit2023-11-22: 1 repo commit2023-11-21: 1 repo commit2023-11-17: 1 repo commit2023-11-15: 1 repo commit2023-11-09: 1 repo commit2023-11-08: 1 repo commit2023-11-05: 4 repo commits2023-11-04: 2 repo commits2023-11-03: 4 repo commits2023-11-02: 2 repo commits2023-11-01: 1 repo commit2023-10-30: 4 repo commitsOpenChat-3.5-1210: Best Open Source 7B LLM · 2023-12-22Open Chat 3.5 · 2023-11-03OpenChat-3.5 Update 0106 · 2024-01-10Weights 2023-10-30 · 2023-10-30Weights 2023-10-30now · 1 provider
NovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOct2024-05-18: 1 repo commit2024-05-07: 1 repo commit2023-12-24: 1 repo commit2023-12-13: 1 repo commit2023-12-08: 2 repo commits2023-11-23: 1 repo commit2023-11-22: 1 repo commit2023-11-21: 1 repo commit2023-11-17: 1 repo commit2023-11-15: 1 repo commit2023-11-09: 1 repo commit2023-11-08: 1 repo commit2023-11-05: 4 repo commits2023-11-04: 2 repo commits2023-11-03: 4 repo commits2023-11-02: 2 repo commits2023-11-01: 1 repo commit2023-10-30: 4 repo commitsOpenChat-3.5-1210: Best Open Source 7B LLM · 2023-12-22Open Chat 3.5 · 2023-11-03OpenChat-3.5 Update 0106 · 2024-01-10Weights 2023-10-30 · 2023-10-30Weights 2023-10-30now · 1 provider

What people built on it

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

65 derivatives on the Hub, led by 28 fine-tunes

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

13 quantized (Hugging Face model tree)28 fine-tunes (Hugging Face model tree)7 merges (Hugging Face model tree)17 adapters (Hugging Face model tree)13 quantized28 fine-tunes7 merges17 adapters
13 quantized (Hugging Face model tree)28 fine-tunes (Hugging Face model tree)7 merges (Hugging Face model tree)17 adapters (Hugging Face model tree)13 quantized28 fine-tunes7 merges17 adapters

All variants →

Reference

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

Benchmarks

14 rows

Benchmarks 14 rows

measured third-party leaderboard rowauthor-reported number from the model card or eval files (14)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 AGIEval47.4OpenChat-3.5model author2026-10-07
author-reported Average56.4OpenChat 3.5model author2026-10-07
author-reported Average61.6OpenChat-3.5model author2026-10-07
author-reported BBH CoT63.5OpenChat-3.5model author2026-10-07
author-reported BBH MC47.6OpenChat-3.5model author2026-10-07
author-reported GSM8K · Reason through hard problems77.3OpenChat 3.5model author2026-10-07
author-reported GSM8K · Reason through hard problems77.3OpenChat-3.5model author2026-10-07
author-reported HumanEval · Write code with agents55.5OpenChat 3.5model author2026-10-07
author-reported HumanEval · Write code with agents55.5OpenChat-3.5model author2026-10-07
author-reported MATH-500 · Reason through hard problems28.6OpenChat 3.5model author2026-10-07
author-reported MMLU · Reason through hard problems64.3OpenChat 3.5model author2026-10-07
author-reported MMLU · Reason through hard problems64.3OpenChat-3.5model author2026-10-07
author-reported MT-Bench · Chat and follow instructions7.81OpenChat-3.5model author2026-10-07
author-reported TruthfulQA · Chat and follow instructions59.1OpenChat-3.5model author2026-10-07

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

18 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesMistralForCausalLM
Model typemistral
Dtypebfloat16
MoEno
Context length8,192 (config.json max_position_embeddings)
PapersarXiv:2309.11235, arXiv:2303.08774
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Servability

vLLM · SGLang

Servability

vLLM: supported · MistralForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · MistralForCausalLM · 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.

All variants

40 variants

Lineage

Original model Family: openchat/openchat-3.5 65 derivatives on the Hub

quantized: 13finetune: 28merge: 7adapter: 17

Top variants (40 shown, ranked by downloads)

Relation
Quant
Size
40 rows
Variant Relation Quant Params Band License Author Likes Downloads
TheBloke/openchat_3.5-GGUF quantized GGUF — — apache-2.0 TheBloke 133 84.6k
TheBloke/openchat_3.5-GPTQ quantized GPTQ 7.24B M apache-2.0 TheBloke 17 51.8k
FuseAI/FuseChat-7B-VaRM finetune — 7.24B M apache-2.0 FuseAI 94 20.6k
TheBloke/openchat_3.5-AWQ quantized AWQ 7.24B M apache-2.0 TheBloke 15 24.2k
AIDX-ktds/ktdsbaseLM-v0.12-based-on-openchat3.5 finetune — 10.8B L apache-2.0 AIDX-ktds 8 19.1k
mradermacher/openchat_3.5-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 1 13.5k
second-state/OpenChat-3.5-GGUF quantized GGUF — — apache-2.0 second-state 3 12.3k
rishiraj/smol-7b finetune — 7.24B M apache-2.0 rishiraj 23 9.8k
FuseAI/OpenChat-3.5-7B-Solar finetune — 7.24B M apache-2.0 FuseAI 9 7.8k
FuseAI/OpenChat-3.5-7B-Mixtral finetune — 7.24B M apache-2.0 FuseAI 10 7.3k
nlpguy/StockFuseChat merge — 7.24B M apache-2.0 nlpguy 1 7.3k
FuseAI/FuseChat-7B-Slerp finetune — 7.24B M apache-2.0 FuseAI 6 6.8k
mradermacher/openchat_3.5-GGUF quantized GGUF — — apache-2.0 mradermacher 0 6.8k
FuseAI/FuseChat-7B-TA finetune — 7.24B M apache-2.0 FuseAI 6 6.2k
nlpguy/StarFusion-alpha1 merge — 7.24B M apache-2.0 nlpguy 1 5k
nlpguy/StarFusion-alpha2 merge — 7.24B M apache-2.0 nlpguy 1 4.9k
tensorblock/openchat_3.5-GGUF quantized GGUF — — apache-2.0 tensorblock 0 2k
FuseAI/FuseChat-7B-v2.0 finetune — 7.24B M apache-2.0 FuseAI 10 1.2k
FuseAI/OpenChat-3.5-7B-Starling-v2.0 finetune — 7.24B M apache-2.0 FuseAI 2 863
FuseAI/OpenChat-3.5-7B-InternLM-v2.0 finetune — 7.24B M apache-2.0 FuseAI 1 851
FuseAI/OpenChat-3.5-7B-Qwen-v2.0 finetune — 7.24B M apache-2.0 FuseAI 0 881
FuseAI/OpenChat-3.5-7B-SOLAR-v2.0 finetune — 7.24B M apache-2.0 FuseAI 1 800
FuseAI/OpenChat-3.5-7B-Mixtral-v2.0 finetune — 7.24B M apache-2.0 FuseAI 0 823
ysn-rfd/openchat_3.5-Q8_0-GGUF quantized Q8_0 — — apache-2.0 ysn-rfd 0 748
neboolaai/NAI-3.5 quantized — 7.24B M mit neboolaai 5 395
Cornell-AGI/REBEL-OpenChat-3.5 finetune — — — apache-2.0 Cornell-AGI 1 500
nlpguy/StarFusion-alpha2-Q4_K_M-GGUF merge GGUF — — apache-2.0 nlpguy 0 340
SEOKDONG/openchat3.5_korean_v1.0_sft finetune — 7.24B M apache-2.0 SEOKDONG 3 182
brekJ/openchat_3.5-Q4_K_M-GGUF quantized GGUF — — apache-2.0 brekJ 0 321
itlwas/openchat_3.5-Q4_K_M-GGUF quantized GGUF — — apache-2.0 itlwas 0 302
Dr-Floofers/PIPv2 adapter — — — — Dr-Floofers 0 268
zuhashaik/MELD-EFR-Z adapter — — — mit zuhashaik 1 205
ysn-rfd/openchat_3.5-GGUF quantized GGUF — — apache-2.0 ysn-rfd 0 223
LoneStriker/smol-7b-6.0bpw-h6-exl2 finetune 0bpw — — apache-2.0 LoneStriker 0 212
pmarkovic/openchat-35-sft finetune — 7.24B M apache-2.0 pmarkovic 0 199
LoneStriker/smol-7b-5.0bpw-h6-exl2 finetune 0bpw — — apache-2.0 LoneStriker 0 189
baebee/7B-Cetacea merge — 7.24B M — baebee 0 189
SHIBA212121/openchat_3.5-Q5_K_M-GGUF quantized GGUF — — apache-2.0 SHIBA212121 0 182
AiJoker/openchat_3.5-slp-jordan-belfort finetune — 7.24B M — AiJoker 0 139
amgadhasan/scachase-openchat-0.2 finetune — 7.24B M apache-2.0 amgadhasan 0 88

Repository changelog

30 commits

Repository changelog 30 commits

DateCommitSHA
2024-05-18 Update README.md 0fc98e3
2024-05-07 Update README.md c8ac815
2023-12-24 Update README.md e4d87b9
2023-12-13 Update README.md 99d59d4
2023-12-08 Update README.md 2b2dbf0
2023-12-08 Update README.md effe26a
2023-11-23 Update README.md 75a0c61
2023-11-22 Update README.md 7e65595
2023-11-21 Add chat template (#27) a11af6b
2023-11-17 Create generation_config.json (#21) 5b874a3
2023-11-15 Update README.md 600a344
2023-11-09 Update model card metadata 2d39b2e
2023-11-08 Update dataset details in model card (#11) 37ca7ce
2023-11-05 Update README.md 0be788e
2023-11-05 Update README.md b6c8863
2023-11-05 Update README.md 5563fa7
2023-11-05 Update README.md 17ccd19
2023-11-04 Update README.md eebadee
2023-11-04 Add baselines 6814591
2023-11-03 Update README.md 4d04f08
2023-11-03 Update README.md 3618d9b
2023-11-03 EOS should be 32000 (#4) d4024c4
2023-11-03 EOS should be 32000 (#3) 394df69
2023-11-02 [doc] update README f85ea3d
2023-11-02 Update model card 17083ef
2023-11-01 Add fast tokenizer support 81689a2
2023-10-30 bf16 0ba9dfe
2023-10-30 fp16 1387ce5
2023-10-30 weights 1025f2b
2023-10-30 initial commit f897c6b

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for openchat_3.5, 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
openchat/openchat_3.5 — — — — — — — live 2026-10-25

Articles and coverage

3 pieces

Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency.

Community3

twitter.com2023-12-22HN 3 pts · 0 comments
old.reddit.com2023-11-03HN 1 pts · 0 comments
twitter.com2024-01-10HN 1 pts · 0 comments

Papers

2 papers

Papers 2

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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  • DialoGPT-medium
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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:40 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:12 UTC · Last verified 2026-10-25

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