Models › openchat-3.5 family

openchat-3.5-1210

openchat Apache 2.0 out 3 years ago

7.24B parameters, text in, text out. 1 provider serves it.

Verified 2026-10-25 Rank #693 in LLMs · score 72.2 method v1 Sources 3 Downloads 30d 75.5k · #345 of 619 tracked

Can I run it?4.3GB at INT4Estimatefits a 16 GB cardmethod
Can I use it?Apache 2.0Permissive; patent grantlicence file
Do people use it?75.5kdownloads, 30 days#345 of 619 we track · below the median+0 likes, downloads +0% this week278 likesHugging Face

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; 10 quantized builds for local use.

  • As a service1Featherless
  • On own hardware10quantized builds
  • Built on291 fine-tunes · 14 adapters · 14 merges
  • In apps0Hugging Face Spaces

Will it fit?

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

Fits a 16 GB card at INT4

About 4.3 GB at INT4, 8.7 GB at FP8, 17 GB at BF16: weights only, so leave room for the KV cache.

16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.3 GB of weights (estimate; KV cache and activations extra)INT44.3 GBFP8: about 8.7 GB of weights (estimate; KV cache and activations extra)FP88.7 GBBF16: about 17 GB of weights (estimate; KV cache and activations extra)BF1617 GB
16 GB card64 GB Mac2×80 GB8×80 GBINT4: about 4.3 GB of weights (estimate; KV cache and activations extra)INT44.3 GBFP8: about 8.7 GB of weights (estimate; KV cache and activations extra)FP88.7 GBBF16: about 17 GB of weights (estimate; KV cache and activations extra)BF1617 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.

Most coverage came in the first two weeks

Teal is the weights (2023-12-12), amber triangles are 3 dated articles (each links to it).

DecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctOpenChat-3.5-1210: Best Open Source 7B LLM · 2023-12-22Open Chat 3.5 · 2023-11-03OpenChat-3.5 Update 0106 · 2024-01-10Weights 2023-12-12 · 2023-12-12Weights 2023-12-12now · 1 provider
DecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctNovDecJanFebMarAprMayJunJulAugSepOctOpenChat-3.5-1210: Best Open Source 7B LLM · 2023-12-22Open Chat 3.5 · 2023-11-03OpenChat-3.5 Update 0106 · 2024-01-10Weights 2023-12-12 · 2023-12-12Weights 2023-12-12now · 1 provider

What people built on it

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

39 derivatives on the Hub, led by 14 merges

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

10 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)14 merges (Hugging Face model tree)14 adapters (Hugging Face model tree)10 quantized1 fine-tune14 merges14 adapters
10 quantized (Hugging Face model tree)1 fine-tune (Hugging Face model tree)14 merges (Hugging Face model tree)14 adapters (Hugging Face model tree)10 quantized1 fine-tune14 merges14 adapters

All variants →

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

15 fields

Listed in LLMs

Facts

Pipeline tagtext-generation
Librarytransformers
ArchitecturesMistralForCausalLM
Model typemistral
Params by dtypeBF16: 7,241,748,480
Size bandM
MoEno
PapersarXiv:2309.11235, arXiv:2303.08774
LicenseApache 2.0 (apache-2.0)
Hub snapshot2026-10-25

Hardware fit

3 estimates

Hardware fit ESTIMATE

Weights-only memory for openchat-3.5-1210: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.

BF16 (2 bytes/param)17 GB · Single GPU (<24 GB)
FP8 (1 byte/param)8.7 GB · Single GPU (<24 GB)
INT4 (0.5 bytes/param)4.3 GB · Single GPU (<24 GB)

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

All variants

39 variants

Lineage

Fine-tuned from mistralai/Mistral-7B-v0.1 Family: openchat/openchat-3.5 39 derivatives on the Hub

Base model: mistralai/Mistral-7B-v0.1

quantized: 10merge: 14adapter: 14finetune: 1

Top variants (39 shown, ranked by downloads)

Relation
Quant
Size
39 rows
Variant Relation Quant Params Band License Author Likes Downloads
TheBloke/openchat-3.5-1210-GGUF quantized GGUF — — apache-2.0 TheBloke 51 84.4k
EmbeddedLLM/Mistral-7B-Merge-14-v0.3 merge — 7.24B M apache-2.0 EmbeddedLLM 8 19.2k
EmbeddedLLM/Mistral-7B-Merge-14-v0.3-ft-step-15936 merge — 7.24B M apache-2.0 EmbeddedLLM 0 17k
EmbeddedLLM/Mistral-7B-Merge-14-v0.3-ft-step-9984 merge — 7.24B M apache-2.0 EmbeddedLLM 0 17k
Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp merge — 7.24B M apache-2.0 Weyaxi 2 14.9k
mradermacher/openchat-3.5-1210-i1-GGUF quantized GGUF — — apache-2.0 mradermacher 0 10.6k
MaziyarPanahi/openchat-3.5-1210-GGUF quantized GGUF — — apache-2.0 MaziyarPanahi 0 7.3k
second-state/openchat-3.5-1210-GGUF quantized GGUF — — apache-2.0 second-state 0 6.5k
TheBloke/openchat-3.5-1210-GPTQ quantized GPTQ 7.24B M apache-2.0 TheBloke 4 5.3k
mayacinka/Open-StaMis-v02-stock merge — 7.24B M apache-2.0 mayacinka 1 5.1k
TheBloke/openchat-3.5-1210-AWQ quantized AWQ 7.24B M apache-2.0 TheBloke 2 5k
mradermacher/openchat-3.5-1210-GGUF quantized GGUF — — apache-2.0 mradermacher 1 4.8k
tensorblock/openchat-3.5-1210-GGUF quantized GGUF — — apache-2.0 tensorblock 0 2k
bogdal/ru_openchat3.5-1210_summarization_adapter adapter — — — other bogdal 7 485
itlwas/openchat-3.5-1210-Q4_K_M-GGUF quantized GGUF — — apache-2.0 itlwas 0 509
mohsinmubaraksk/Beast-Mixed_3_pro merge — 7.24B M — mohsinmubaraksk 1 217
mgv99/mistral-moe merge — 12.9B L apache-2.0 mgv99 0 240
ajay141/Chat-generation merge — 7.24B M — ajay141 0 231
mgv99/olaolaola merge — 12.9B L apache-2.0 mgv99 0 142
sethut/openchat-3.5-1210-Q8_0-GGUF quantized Q8_0 — — apache-2.0 sethut 0 140
mgv99/my-llm merge — 12.9B L apache-2.0 mgv99 0 114
mgv99/prueba-moe2 merge — — — mit mgv99 0 111
mgv99/prueba-moe merge — — — mit mgv99 0 105
ArchSid/RHQE_openchat_layer_-16 adapter — — — — ArchSid 0 100
Ro-xe/FMixAI_7B merge — 7.24B M — Ro-xe 0 73
ArchSid/RHQE_openchat_layer_-5 adapter — — — — ArchSid 0 57
mayurmmg/finetunedModelVersion-1 finetune — 7.24B M apache-2.0 mayurmmg 0 55
mgv99/joooojoooo merge — 12.9B L apache-2.0 mgv99 0 54
ai-simonsk13/MentalHealth-Openchat-7b-finetune adapter — — — — ai-simonsk13 0 38
baltop/open_600 adapter — — — — baltop 0 34
baltop/open_400 adapter — — — — baltop 0 31
tdh87/StoryTime adapter — — — — tdh87 0 30
houghtonweihu/openchat_adapter_1 adapter — — — — houghtonweihu 0 29
ArchSid/RHQE_openchat_layer_-7 adapter — — — — ArchSid 0 29
baltop/open_300 adapter — — — — baltop 0 28
baltop/open_500 adapter — — — — baltop 0 24
ArchSid/RHQE_openchat_layer_-1 adapter — — — — ArchSid 0 21
elliotthwang/OpenChatC-RLFT-tw_train_ouputs adapter — — — — elliotthwang 0 19
elliotthwangmsa/OpenChatC-RLFT-tw_train_ouputs adapter — — — — elliotthwangmsa 0 16

All providers

1 provider · 1 endpoint

Where to run 1 providers · 1 endpoints

Hosted endpoints observed for openchat-3.5-1210, 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-3.5-1210 — — — — — — — 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.com2023-11-03about the openchat 3.5 familyHN 1 pts · 0 comments
twitter.com2024-01-10about the openchat 3.5 familyHN 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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Sources

3 sources

Sources

Hub snapshot: 2026-10-25 · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-14 14:08 UTC · Last verified 2026-10-25

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