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values | asset_class stringclasses 5
values | relevant stringclasses 2
values | license stringclasses 26
values | license_bucket stringclasses 3
values | downloads int64 0 0 | downloads_30d int64 0 38.7M | likes int64 0 1.22k | created stringdate 2022-03-02 23:29:04 2026-08-19 23:26:13 | last_modified stringdate 2021-05-19 20:30:58 2026-08-20 02:20:38 | library stringclasses 50
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values | training_data_summary stringlengths 0 336 | maintained bool 2
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class | indexed_at stringdate 2026-08-20 23:52:39 2026-08-20 23:52:39 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
nickmuchi/finbert-tone-finetuned-finance-topic-classification | nickmuchi | classification | general | yes | none | 0 | 88,716 | 71 | 2022-12-30T16:22:43+00:00 | 2023-07-12T16:41:11+00:00 | transformers | text-classification | true | true | trained on Twitter financial news topic classification dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||||
FinLang/finance-embeddings-investopedia | FinLang | embedding | general | yes | cc-by-nc-4.0 | restricted | 0 | 20,078 | 69 | 2024-04-22T15:45:42+00:00 | 2024-04-30T10:08:41+00:00 | sentence-transformers | sentence-similarity | 109.5M | true | false | trained using the FinLang open-sourced finance dataset from https://huggingface.co/datasets/FinLang/investopedia-embedding-dataset | true | true | [
"unspecified training data",
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
instruction-pretrain/finance-Llama3-8B | instruction-pretrain | qa | general | yes | llama3 | restricted | 0 | 14,019 | 80 | 2024-06-18T10:20:43+00:00 | 2026-03-02T08:23:22+00:00 | transformers | text-generation | 8B | true | false | trained on instruction-response pairs generated by an efficient instruction synthesizer | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
bardsai/finance-sentiment-zh-base | bardsai | sentiment | general | yes | apache-2.0 | permissive | 0 | 5,523 | 21 | 2023-07-12T14:41:06+00:00 | 2026-05-25T14:37:59+00:00 | transformers | text-classification | 102.3M | true | false | google-bert/bert-base-chinese | trained on the translated version of Financial PhraseBank | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
fastino/Fastino-Nemotron-3.5-Lightning-Finance | fastino | qa | general | yes | apache-2.0 | permissive | 0 | 4,268 | 21 | 2026-08-06T08:52:08+00:00 | 2026-08-11T13:23:37+00:00 | transformers | text-generation | 31.6B | true | false | nvidia/Nemotron-3.5-Lightning | financial document calculation and executable reasoning; hybrid text-and-table question answering; business-finance reasoning across calculation, extraction, temporal reasoning, prediction, and knowledge tasks; numerical span extraction from SEC disclosures; financial entity extraction; source-grounded financial resear... | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/AdaptLLM_-_finance-chat-gguf | RichardErkhov | qa | general | yes | none | 0 | 2,546 | 0 | 2024-08-28T06:27:23+00:00 | 2024-08-28T09:17:46+00:00 | true | false | trained on Open-Orca/OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||||||
FinanceInc/auditor_sentiment_finetuned | FinanceInc | sentiment | general | yes | none | 0 | 1,925 | 18 | 2022-07-22T16:42:57+00:00 | 2022-12-12T17:30:43+00:00 | transformers | text-classification | true | false | finetuned from FinBERT pre-trained on a large corpora of financial texts, then fine-tuned using Autotrain from the demo-org/auditor_review review dataset | false | true | [
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||
King3Djbl/nexus-finance-GGUF | King3Djbl | qa | general | yes | apache-2.0 | permissive | 0 | 1,893 | 2 | 2026-07-04T16:57:09+00:00 | 2026-07-17T04:48:18+00:00 | gguf | text-generation | true | false | fableforge-ai/NEXUS-Finance | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||
nickmuchi/deberta-v3-base-finetuned-finance-text-classification | nickmuchi | sentiment | general | yes | mit | permissive | 0 | 1,604 | 21 | 2022-05-29T16:29:22+00:00 | 2023-03-19T00:32:56+00:00 | transformers | text-classification | 184.4M | true | false | sentence_50Agree dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive) | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
mradermacher/FinanceGemma-E4B-GGUF | mradermacher | classification | general | yes | apache-2.0 | permissive | 0 | 1,418 | 1 | 2026-06-19T10:16:04+00:00 | 2026-06-19T10:34:32+00:00 | transformers | text-classification | true | false | naazimsnh02/FinanceGemma-E4B | trained on 500k and 177k finance instruct datasets | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
OVHaiLLM/Llama-Open-Finance-8B | OVHaiLLM | qa | general | yes | llama3.1 | restricted | 0 | 1,402 | 40 | 2025-10-02T12:13:28+00:00 | 2025-11-03T17:13:28+00:00 | transformers | question-answering | 8B | true | true | meta-llama/Llama-3.1-8B-Instruct | Trained on a diverse dataset spanning multiple domains, with a finance-dominated training of 54.4% consisting of financial content, including market analysis, regulatory documents, accounting data, and synthetic financial discussions. | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
QuantFactory/Llama-3-8B-Instruct-Finance-RAG-GGUF | QuantFactory | qa | general | yes | llama3 | restricted | 0 | 886 | 62 | 2024-10-20T15:43:33+00:00 | 2024-10-20T16:22:33+00:00 | transformers | text-generation | true | false | meta-llama/Meta-Llama-3-8B-Instruct | fine-tuned on 4000 examples from the virattt/financial-qa-10K dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
Tesleum/Shirdel-Finance-E4B | Tesleum | qa | general | yes | ecl-2.0 | permissive | 0 | 810 | 12 | 2026-07-01T00:20:29+00:00 | 2026-07-01T21:38:22+00:00 | reinforcement-learning | true | false | google/gemma-4-E4B-it | fine-tuned using finance-oriented instruction datasets and domain-specific conversational examples | true | true | [
"unspecified training data",
"unverifiable metric claims",
"no license",
"train/test overlap",
"implausible backtest results"
] | true | false | 2026-08-20T23:52:39+00:00 | |||
trjxter/TraceAlchemy-Gemma-4-E4B-Finance-IT-gguf | trjxter | qa | general | yes | none | 0 | 762 | 4 | 2026-05-13T04:51:12+00:00 | 2026-05-13T05:13:23+00:00 | text-generation | true | false | unsloth/gemma-4-E4B-it | a 10,000-example finance-focused mixture, built around a real finance-data anchor | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||||
TheBloke/finance-LLM-GGUF | TheBloke | qa | general | yes | other | restricted | 0 | 758 | 29 | 2023-12-24T21:28:55+00:00 | 2023-12-24T21:33:31+00:00 | transformers | text-generation | true | false | AdaptLLM/finance-LLM | trained on a combination of financial texts from Open-Orca, Lima, and WizardLM datasets | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
TheBloke/finance-chat-GGUF | TheBloke | qa | general | yes | llama2 | restricted | 0 | 715 | 16 | 2024-01-10T00:23:09+00:00 | 2024-01-10T00:27:41+00:00 | transformers | text-generation | true | false | AdaptLLM/finance-chat | trained on Open-Orca/OpenOrca, GAIR/lima, and WizardLM/WizardLM_evol_instruct_V2_196k datasets | true | true | [
"unspecified training data",
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
tarun7r/Finance-Llama-8B | tarun7r | qa | general | yes | apache-2.0 | permissive | 0 | 705 | 48 | 2025-05-26T16:13:10+00:00 | 2026-02-11T06:01:23+00:00 | transformers | text-generation | 8B | true | false | unsloth/Meta-Llama-3.1-8B | trained on a dataset of 500,000 entries spanning financial QA, reasoning, sentiment analysis, topic classification, multilingual NER, and conversational AI | true | true | [
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | |
kiarash90/financer | kiarash90 | other | general | unclear | none | 0 | 646 | 0 | 2026-08-03T05:21:00+00:00 | 2026-08-06T15:12:20+00:00 | transformers | text-generation | 1.1B | true | false | false | false | [
"no license",
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||
QuantFactory/finance-Llama3-8B-GGUF | QuantFactory | qa | general | yes | llama3 | restricted | 0 | 637 | 17 | 2024-06-22T06:59:42+00:00 | 2024-06-22T10:08:34+00:00 | text-generation | true | false | instruction-pretrain/finance-Llama3-8B | pre-trained on a large corpus of text with instruction-response pairs, including finance domain data | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
AmberYifan/capsd-finance-fincot-finqa-clean6k-marin-8b-base-finance_cap_b1000_s0 | AmberYifan | qa | general | unclear | other | restricted | 0 | 622 | 0 | 2026-08-16T21:05:11+00:00 | 2026-08-17T00:55:48+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n6000-finance-fincot-finqa-clean6k__mix_finance_cap_b1000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
mradermacher/LFM2.5-2.6B-Finance-GGUF | mradermacher | qa | general | yes | other | restricted | 0 | 614 | 1 | 2026-08-11T20:38:00+00:00 | 2026-08-11T21:11:29+00:00 | transformers | true | false | toastloaf/LFM2.5-2.6B-Finance | true | false | [
"unspecified training data",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||
TheBloke/finance-LLM-13B-GGUF | TheBloke | other | general | unclear | other | restricted | 0 | 594 | 21 | 2024-01-15T22:00:36+00:00 | 2024-01-15T22:07:55+00:00 | transformers | text-generation | true | false | AdaptLLM/finance-LLM-13B | trained on a combination of Open-Orca, GAIR, and WizardLM datasets | true | false | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
AmberYifan/capsd-finance-fincot-finqa-clean6k-marin-8b-base-finance_ppl_b1000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 589 | 0 | 2026-08-16T21:50:42+00:00 | 2026-08-17T02:18:13+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | on the capsd_marin-8b-base-n6000-finance-fincot-finqa-clean6k__mix_finance_ppl_b1000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
POCMAKER/qwen3-1.5b-fmpc-finances-locales-gguf | POCMAKER | other | general | unclear | none | 0 | 576 | 0 | 2026-02-01T10:11:28+00:00 | 2026-02-01T10:12:12+00:00 | true | false | Qwen/Qwen3-1.7B | LoRA fine-tune of Qwen/Qwen3-1.7B on finances and locales | false | false | [
"undisclosed training data",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||
bardsai/finance-sentiment-fr-base | bardsai | sentiment | general | yes | mit | permissive | 0 | 571 | 7 | 2023-09-18T09:53:50+00:00 | 2026-05-25T15:12:03+00:00 | transformers | text-classification | 110.6M | true | false | camembert-base | translated version of Financial PhraseBank | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
AmberYifan/capsd-finance-fincot-finqa-clean6k-marin-8b-base-finance_random_b1000_s0 | AmberYifan | other | general | yes | other | restricted | 0 | 556 | 0 | 2026-08-16T22:37:44+00:00 | 2026-08-17T03:37:55+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n6000-finance-fincot-finqa-clean6k__mix_finance_random_b1000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/Wengwengwhale_-_llama-3.1-8B-Instruct-finance-analyst-gguf | RichardErkhov | qa | general | yes | none | 0 | 502 | 1 | 2024-08-14T11:05:05+00:00 | 2024-08-14T12:54:24+00:00 | true | false | true | false | [
"unspecified training data",
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
baconnier/Finance2_embedding_small_en-V1.5 | baconnier | embedding | general | yes | none | 0 | 500 | 1 | 2024-06-09T13:19:01+00:00 | 2024-06-09T13:19:17+00:00 | sentence-transformers | sentence-similarity | 33.4M | true | false | BAAI/bge-small-en-v1.5 | trained on a private finance dataset | true | true | [
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
RichardErkhov/Ankit15nov_-_Llama-3-8B-Instruct-Finance-RAG-gguf | RichardErkhov | qa | general | yes | none | 0 | 491 | 0 | 2025-05-30T03:16:41+00:00 | 2025-05-30T05:28:20+00:00 | true | false | true | false | [
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
mradermacher/Blum-Finance-4B-GGUF | mradermacher | ner | general | yes | apache-2.0 | permissive | 0 | 484 | 1 | 2026-07-29T14:35:49+00:00 | 2026-07-29T14:52:38+00:00 | transformers | true | false | Italianhype/Blum-Finance-4B | trained on the Italianhype/Blum-Finance-Reasoning dataset | true | false | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
RichardErkhov/jmurphy97_-_Llama-3-8B-Instruct-Finance-RAG-gguf | RichardErkhov | qa | general | yes | none | 0 | 468 | 0 | 2025-05-08T12:10:08+00:00 | 2025-05-08T13:32:20+00:00 | true | false | true | false | [
"unverifiable metric claims",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
RichardErkhov/gkMSDA_-_FinChat298_FinanceLLM__DJ30_Pretrain-gguf | RichardErkhov | qa | general | yes | none | 0 | 462 | 0 | 2025-03-09T19:14:41+00:00 | 2025-03-09T19:23:28+00:00 | true | false | trained on DJ30 data | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||||||
mradermacher/Phinance-Phi-3.5-mini-instruct-finance-v0.2-i1-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 459 | 2 | 2025-08-15T13:27:42+00:00 | 2025-12-09T03:20:14+00:00 | transformers | true | false | Josephgflowers/Phinance-Phi-3.5-mini-instruct-finance-v0.2 | trained on the Phinance dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
RichardErkhov/Houbid_-_llama-3.2-3b-chat-finance-consultant-gguf | RichardErkhov | qa | general | yes | none | 0 | 419 | 0 | 2025-03-27T13:58:58+00:00 | 2025-03-27T15:02:20+00:00 | true | false | true | false | [
"undisclosed training data",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
AdaptLLM/finance-chat | AdaptLLM | qa | general | yes | llama2 | restricted | 0 | 412 | 100 | 2023-12-08T07:47:36+00:00 | 2024-12-02T06:27:31+00:00 | transformers | text-generation | 6.7B | true | false | trained on a combination of domain-specific corpora and reading comprehension texts | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
bardsai/finance-sentiment-es-base | bardsai | sentiment | general | yes | cc-by-4.0 | permissive | 0 | 392 | 4 | 2023-09-18T11:50:31+00:00 | 2026-05-25T15:12:09+00:00 | transformers | text-classification | 109.9M | true | false | dccuchile/bert-base-spanish-wwm-cased | translated version of Financial PhraseBank by Malo et al. (2014) for 10 epochs | true | true | [
"unspecified training data license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/amanchahar_-_Llama_Instruct_Finance_pre-gguf | RichardErkhov | qa | general | yes | none | 0 | 392 | 0 | 2025-03-28T01:25:15+00:00 | 2025-03-28T02:22:58+00:00 | true | false | true | false | [
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
thinkingdbx/kautilyaa-9b-finance | thinkingdbx | qa | general | yes | apache-2.0 | permissive | 0 | 382 | 1 | 2026-08-06T18:10:22+00:00 | 2026-08-06T19:19:08+00:00 | transformers | text-generation | 9.2B | true | false | thinkingdbx/kautilyaa-9b-base | pre-trained from scratch on SEC EDGAR filings and FNSPID (financial news + price data), then instruction-tuned | true | true | [
"train/test overlap"
] | true | false | 2026-08-20T23:52:39+00:00 | |
mradermacher/DeepSeek-R1-Finance-Reasoning-14B-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 379 | 6 | 2026-05-10T15:59:57+00:00 | 2026-05-11T01:46:41+00:00 | transformers | true | false | engr-bilal/FinetunedQwen14B | trained on financial text | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
andrijdavid/finance-chat-GGUF | andrijdavid | qa | general | unclear | llama2 | restricted | 0 | 376 | 4 | 2024-01-02T14:56:03+00:00 | 2024-01-19T17:26:02+00:00 | transformers | text-generation | true | false | trained on a combination of financial and general text data | true | false | [
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | |||
bardsai/finance-sentiment-ja-base | bardsai | sentiment | general | yes | cc-by-sa-3.0 | restricted | 0 | 365 | 3 | 2023-09-18T13:00:29+00:00 | 2026-05-25T15:12:12+00:00 | transformers | text-classification | 110.6M | true | false | cl-tohoku/bert-base-japanese | translated version of Financial PhraseBank by Malo et al. (2014) for 10 epochs | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
AmberYifan/capsd-finance-fincot-finqa-clean6k-marin-8b-base-finance_cap_b2000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 365 | 0 | 2026-08-17T04:43:16+00:00 | 2026-08-17T04:47:10+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n6000-finance-fincot-finqa-clean6k__mix_finance_cap_b2000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
TheBloke/finance-LLM-AWQ | TheBloke | qa | general | yes | other | restricted | 0 | 356 | 5 | 2023-12-24T21:28:55+00:00 | 2023-12-24T21:45:39+00:00 | transformers | text-generation | 6.7B | true | false | AdaptLLM/finance-LLM | trained on Open-Orca/OpenOrca, GAIR/lima, and WizardLM/WizardLM_evol_instruct_V2_196k datasets | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/ebinzack15_-_mistral-7b-finance-v1.x_mergedmodel-gguf | RichardErkhov | ner | general | yes | none | 0 | 349 | 0 | 2025-04-15T20:14:20+00:00 | 2025-04-15T21:48:40+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
RichardErkhov/expresscompany_-_LLaMa3.1-8B-Instruction-Finance-gguf | RichardErkhov | qa | general | yes | none | 0 | 347 | 0 | 2025-05-22T06:07:23+00:00 | 2025-05-22T09:23:48+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
rajveer43/gemma-4-E4B-medical-legal-finance-qa | rajveer43 | qa | general | yes | apache-2.0 | permissive | 0 | 347 | 12 | 2026-04-11T17:21:08+00:00 | 2026-04-12T15:17:32+00:00 | peft | text-generation | true | false | google/gemma-4-E4B-it | trained on medical, legal, and finance domain-specific questions | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
nickmuchi/sec-bert-finetuned-finance-classification | nickmuchi | classification | general | yes | cc-by-sa-4.0 | restricted | 0 | 343 | 13 | 2022-03-08T03:30:54+00:00 | 2023-03-18T23:52:43+00:00 | transformers | text-classification | true | false | fine-tuned on the sentence_50Agree dataset consisting of 4840 Financial News categorised by sentiment (negative, neutral, positive) | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
AmberYifan/capsd-finance-fincot-finqa-clean6k-marin-8b-base-finance_ppl_b2000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 339 | 0 | 2026-08-17T06:10:14+00:00 | 2026-08-17T06:14:13+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
RichardErkhov/cdofitas_-_Llama-3-8B-Instruct-Finance-RAG-gguf | RichardErkhov | qa | general | yes | none | 0 | 325 | 0 | 2025-05-09T20:41:53+00:00 | 2025-05-09T23:38:34+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
AmberYifan/capsd-finance-dedup-marin-8b-base-finance_ppl_b2000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 294 | 0 | 2026-08-11T16:38:13+00:00 | 2026-08-11T16:42:25+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"undisclosed training data"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
AmberYifan/capsd-finance-dedup-marin-8b-base-finance_random_b2000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 293 | 0 | 2026-08-11T17:49:47+00:00 | 2026-08-11T17:54:05+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"undisclosed training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
AmberYifan/capsd-finance-dedup-marin-8b-base-finance_cap_b10000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 293 | 0 | 2026-08-11T21:20:52+00:00 | 2026-08-11T21:25:13+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n80000-finance-dedup80k__mix_finance_cap_b10000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/lxyuan_-_distilgpt2-finetuned-finance-gguf | RichardErkhov | qa | general | yes | none | 0 | 292 | 0 | 2024-08-26T10:11:14+00:00 | 2024-08-26T10:15:23+00:00 | true | false | trained on finance text | true | false | [
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||||
AmberYifan/capsd-finance-dedup-marin-8b-base-finance_cap_b2000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 292 | 0 | 2026-08-11T19:11:43+00:00 | 2026-08-11T19:16:12+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n80000-finance-dedup80k__mix_finance_cap_b2000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/mindsignal_-_upstage-SOLAR-10.7B-Instruct-v1.0-4bit-financesinfo-ver1-gguf | RichardErkhov | qa | general | yes | none | 0 | 287 | 0 | 2024-08-22T20:53:40+00:00 | 2024-08-23T01:18:52+00:00 | true | false | true | false | [
"unverifiable metric claims",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
mradermacher/Hermes-3-Llama-3.1-8B-Korean-Finance-Advisor-GGUF | mradermacher | qa | general | yes | llama3.1 | restricted | 0 | 285 | 0 | 2024-09-19T02:59:50+00:00 | 2024-09-19T03:27:13+00:00 | transformers | true | false | kimhyeongjun/Hermes-3-Llama-3.1-8B-Korean-Finance-Advisor | trained on a large corpus of financial text | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
RichardErkhov/NickyNicky_-_TinyDolphin_2_8_1_1b_finance_Es_orpo_V1-gguf | RichardErkhov | ner | general | yes | none | 0 | 278 | 0 | 2024-10-15T23:15:18+00:00 | 2024-10-15T23:41:53+00:00 | true | false | true | false | [
"unspecified training data",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
AdaptLLM/finance-LLM | AdaptLLM | qa | general | yes | none | 0 | 266 | 155 | 2023-09-18T13:45:13+00:00 | 2024-12-02T06:26:32+00:00 | transformers | text-generation | 6.7B | true | false | trained on domain-specific corpora for large language models, including finance, biomedicine, and law domains | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
AmberYifan/capsd-finance-dedup-marin-8b-base-finance_random_b10000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 245 | 0 | 2026-08-12T01:16:33+00:00 | 2026-08-12T01:20:56+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"undisclosed training data",
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
RichardErkhov/Mottzerella_-_Llama-3-8B-Instruct-Finance-RAG-Merged-gguf | RichardErkhov | qa | general | yes | none | 0 | 241 | 0 | 2025-05-09T09:49:51+00:00 | 2025-05-09T13:18:48+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
mradermacher/FinanceConnect-13B-i1-GGUF | mradermacher | summarization | general | yes | apache-2.0 | permissive | 0 | 239 | 1 | 2025-02-23T23:40:00+00:00 | 2025-02-24T08:51:17+00:00 | transformers | translation | true | false | ceadar-ie/FinanceConnect-13B | trained on FinTalk-19k dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||
OVHaiLLM/Qwen-Open-Finance-R-8B | OVHaiLLM | qa | general | yes | apache-2.0 | permissive | 0 | 239 | 9 | 2025-10-02T12:14:16+00:00 | 2025-11-03T16:56:54+00:00 | transformers | question-answering | 8.2B | true | true | Qwen/Qwen3-8B | trained on a diverse dataset spanning multiple domains, with a finance-dominated training of 54.4% consisting of financial content, including market analysis, regulatory documents, accounting data, and synthetic financial discussions. | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/wenlianghuang_-_Phi3_finance_Matt-gguf | RichardErkhov | ner | equities | yes | none | 0 | 235 | 0 | 2025-03-29T20:09:08+00:00 | 2025-03-29T21:12:45+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
mradermacher/FinanceForge-8b-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 233 | 1 | 2026-05-18T17:16:00+00:00 | 2026-05-18T18:00:08+00:00 | transformers | true | false | sriksven/FinanceForge-8b | trained on TheFinAI/flare-finqa and sujet-ai/Sujet-Finance-Instruct-177k datasets | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
mradermacher/Sujet-Finance-8B-v0.1-i1-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 231 | 0 | 2025-01-02T01:07:37+00:00 | 2025-01-02T02:19:46+00:00 | transformers | true | false | sujet-ai/Sujet-Finance-8B-v0.1 | trained on 177k finance instruct dataset | true | true | [
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | |||
RichardErkhov/kyungbae_-_gemma-2-finance-gguf | RichardErkhov | qa | general | yes | none | 0 | 226 | 0 | 2025-02-27T23:40:59+00:00 | 2025-02-28T00:17:12+00:00 | true | false | true | false | [
"unspecified training data",
"no test set reported",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
RichardErkhov/curiousily_-_Llama-3-8B-Instruct-Finance-RAG-gguf | RichardErkhov | qa | general | yes | none | 0 | 215 | 0 | 2024-08-22T12:15:25+00:00 | 2024-08-22T14:04:36+00:00 | true | false | true | false | [
"unspecified training data",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
RichardErkhov/BCCard_-_Llama-3-Kor-BCCard-Finance-8B-gguf | RichardErkhov | qa | general | yes | none | 0 | 215 | 0 | 2024-08-22T19:57:13+00:00 | 2024-08-22T23:04:17+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
RichardErkhov/ilmaha_-_tinyllama-finance-v3-gguf | RichardErkhov | ner | general | yes | none | 0 | 214 | 0 | 2025-04-02T22:06:24+00:00 | 2025-04-02T22:28:15+00:00 | true | false | true | false | [
"unspecified training data",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
s3nh/AdaptLLM-finance-LLM-13B-GGUF | s3nh | qa | general | yes | openrail | permissive | 0 | 206 | 6 | 2024-01-02T10:57:06+00:00 | 2024-01-02T12:46:29+00:00 | transformers | text-generation | true | false | true | true | [
"unspecified training data",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||
RichardErkhov/hossameid_-_Llama-3.1-8B-Instruct-Finance-RAG-gguf | RichardErkhov | qa | general | yes | none | 0 | 206 | 0 | 2025-05-09T12:15:09+00:00 | 2025-05-09T16:20:57+00:00 | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
RichardErkhov/Panchanathan_-_financeagent_llama3-gguf | RichardErkhov | qa | general | yes | none | 0 | 201 | 0 | 2025-05-03T16:18:35+00:00 | 2025-05-03T18:33:41+00:00 | true | false | true | false | [
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
fableforge-ai/NEXUS-Finance | fableforge-ai | qa | general | yes | apache-2.0 | permissive | 0 | 201 | 1 | 2026-07-05T08:03:39+00:00 | 2026-07-17T04:47:13+00:00 | transformers | text-generation | 1.5B | true | false | true | true | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||
AmberYifan/capsd-finance-dedup-marin-8b-base-finance_ppl_b10000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 200 | 0 | 2026-08-11T23:18:30+00:00 | 2026-08-11T23:22:45+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n80000-finance-dedup80k__mix_finance_ppl_b10000_s0 dataset | false | false | [
"undisclosed training data",
"unverifiable metric claims"
] | true | false | 2026-08-20T23:52:39+00:00 | |
quantumstocks/qwen-finance-4b-gguf | quantumstocks | other | general | yes | gpl-3.0 | permissive | 0 | 197 | 0 | 2026-08-13T16:46:35+00:00 | 2026-08-13T16:57:28+00:00 | true | false | unsloth/Qwen3.5-4B | finetuned on a finance dataset | true | false | [] | true | false | 2026-08-20T23:52:39+00:00 | ||||
RichardErkhov/instruction-pretrain_-_finance-Llama3-8B-gguf | RichardErkhov | qa | general | yes | none | 0 | 195 | 0 | 2024-08-22T01:32:49+00:00 | 2024-08-22T03:30:36+00:00 | true | false | pretrained on instruction data | true | false | [
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||||
bharatgenai/FinanceParam | bharatgenai | qa | general | yes | apache-2.0 | permissive | 0 | 189 | 10 | 2025-08-20T09:29:23+00:00 | 2026-02-24T09:36:56+00:00 | transformers | text-generation | 2.9B | true | false | bharatgenai/Param-1-2.9B-Instruct | a high-quality finance dataset, including government portals, banking reports, investment advisories, policy documents, and financial news | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
junaid17/qwen2.5-finance-assistant-gguf | junaid17 | qa | general | unclear | none | 0 | 189 | 0 | 2026-08-09T10:40:33+00:00 | 2026-08-09T13:26:58+00:00 | true | false | false | false | [
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
mradermacher/Phinance-Phi-3.5-mini-instruct-finance-v0.2-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 185 | 1 | 2025-08-15T13:24:02+00:00 | 2025-08-15T13:36:54+00:00 | transformers | true | false | Josephgflowers/Phinance-Phi-3.5-mini-instruct-finance-v0.2 | trained on the Phinance dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
toastloaf/LFM2.5-2.6B-Finance | toastloaf | qa | general | yes | other | restricted | 0 | 181 | 1 | 2026-08-11T10:49:47+00:00 | 2026-08-11T10:57:59+00:00 | transformers | text-generation | 2.7B | true | false | LiquidAI/LFM2.5-2.6B | a mix of public, primary-source financial reasoning datasets | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
mradermacher/WiroAI-Finance-Qwen-1.5B-i1-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 180 | 0 | 2025-02-24T07:10:25+00:00 | 2025-02-24T08:09:06+00:00 | transformers | true | false | WiroAI/WiroAI-Finance-Qwen-1.5B | trained on the Finance-Instruct-500k dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
dschauhan08/Qwen2.5-3B-Finance-GGUF | dschauhan08 | qa | general | yes | none | 0 | 177 | 1 | 2025-11-24T16:54:13+00:00 | 2025-12-23T07:35:38+00:00 | true | false | fine-tuned on finance-specific data, including synthetic trading journals, price/volume tables, and formatted conversations | true | true | [
"no proprietary broker data",
"no private customer records",
"no non-public information"
] | true | false | 2026-08-20T23:52:39+00:00 | ||||||
AmberYifan/capsd-convfinqa-fullscore-marin-8b-base-finance_ppl_b8000_s0 | AmberYifan | qa | general | yes | other | restricted | 0 | 174 | 0 | 2026-08-16T13:16:34+00:00 | 2026-08-16T13:20:36+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n11082-finance-convfinqa-fullscore__mix_finance_ppl_b8000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
mradermacher/Phinance-Phi-3.5-mini-instruct-finance-v0.3-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 167 | 0 | 2025-02-08T22:22:44+00:00 | 2025-02-08T22:42:09+00:00 | transformers | true | false | Josephgflowers/Phinance-Phi-3.5-mini-instruct-finance-v0.3 | trained on a dataset of financial text | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
AmberYifan/capsd-convfinqa-fullscore-marin-8b-base-finance_cap_b1000_s0 | AmberYifan | other | general | unclear | other | restricted | 0 | 162 | 0 | 2026-08-16T06:02:38+00:00 | 2026-08-16T06:06:33+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"undisclosed training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
ADKDinesh/Qwen2.5-0.5B-SMS-Finance-Parser-GGUF | ADKDinesh | ner | general | yes | none | 0 | 159 | 0 | 2026-08-09T14:28:20+00:00 | 2026-08-09T14:30:15+00:00 | true | false | false | false | [
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
AmberYifan/capsd-convfinqa-fullscore-marin-8b-base-finance_ppl_b4000_s0 | AmberYifan | qa | general | unclear | other | restricted | 0 | 157 | 0 | 2026-08-16T09:42:03+00:00 | 2026-08-16T09:45:52+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | fine-tuned on the capsd_marin-8b-base-n11082-finance-convfinqa-fullscore__mix_finance_ppl_b4000_s0 dataset | false | false | [
"undisclosed training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/miner41612_-_gemma-2-2b-finance-it-v1-gguf | RichardErkhov | ner | equities | yes | none | 0 | 150 | 0 | 2024-10-30T02:40:41+00:00 | 2024-10-30T04:00:56+00:00 | true | false | true | false | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
Italianhype/Blum-Finance-4B | Italianhype | qa | general | yes | apache-2.0 | permissive | 0 | 150 | 3 | 2026-07-28T12:09:17+00:00 | 2026-08-03T08:48:54+00:00 | transformers | text-generation | 4B | true | false | Qwen/Qwen3-4B | trained on Italianhype/Blum-Finance-Reasoning dataset | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/Ishreet1_-_FinanceLLM-gguf | RichardErkhov | qa | general | yes | none | 0 | 147 | 0 | 2024-08-06T18:25:26+00:00 | 2024-08-06T19:55:58+00:00 | true | false | true | false | [
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
AmberYifan/capsd-convfinqa-fullscore-marin-8b-base-finance_ppl_b1000_s0 | AmberYifan | qa | general | unclear | other | restricted | 0 | 147 | 0 | 2026-08-16T06:22:00+00:00 | 2026-08-16T06:25:53+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
RichardErkhov/ritamsharma_-_tinyllama-finance-v1-gguf | RichardErkhov | qa | general | yes | none | 0 | 146 | 0 | 2025-03-17T03:51:52+00:00 | 2025-03-17T04:10:41+00:00 | true | false | true | false | [
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
Josephgflowers/Phinance-Phi-4-mini-instruct-finance-v0.4-with-reasoning-gguf | Josephgflowers | qa | general | yes | mit | permissive | 0 | 146 | 0 | 2025-05-15T04:25:51+00:00 | 2025-10-24T17:19:14+00:00 | true | false | microsoft/Phi-4-mini-instruct | trained on a dataset of 500k finance QA pairs, with additional datasets including LIMO, Fin01, and Cortex-1 Market Analysis | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | ||||
AmberYifan/capsd-convfinqa-fullscore-marin-8b-base-finance_random_b1000_s0 | AmberYifan | qa | general | unclear | other | restricted | 0 | 145 | 0 | 2026-08-16T06:42:04+00:00 | 2026-08-16T06:45:56+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | trained on the capsd_marin-8b-base-n11082-finance-convfinqa-fullscore__mix_finance_random_b1000_s0 dataset | false | false | [
"unspecified training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/ebinzack15_-_mistral-7b-finance-v1.0_mergedmodel-gguf | RichardErkhov | ner | general | yes | none | 0 | 141 | 0 | 2024-11-17T07:24:10+00:00 | 2024-11-17T08:38:39+00:00 | true | false | true | false | [
"unverifiable metric claims",
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 | |||||||
codingmavin/finance-Llama3-8B-mlx-6Bit | codingmavin | qa | general | yes | llama3 | restricted | 0 | 141 | 1 | 2025-03-20T20:38:36+00:00 | 2025-03-20T20:39:05+00:00 | mlx | 1.8B | true | false | instruction-pretrain/finance-Llama3-8B | trained on instruction-pretrain/finance-Llama3-8B | true | false | [
"unspecified training data"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
mradermacher/Qwen3-8B-finance-V1.0.1-Merged-V2-i1-GGUF | mradermacher | qa | general | yes | apache-2.0 | permissive | 0 | 137 | 2 | 2026-01-03T00:53:14+00:00 | 2026-01-03T02:40:40+00:00 | transformers | true | false | RinKana/Qwen3-8B-finance-V1.0.1-Merged-V2 | trained on synthetic finance reasoning data | true | true | [] | true | false | 2026-08-20T23:52:39+00:00 | |||
AmberYifan/capsd-convfinqa-fullscore-marin-8b-base-finance_random_b8000_s0 | AmberYifan | qa | general | unclear | other | restricted | 0 | 136 | 0 | 2026-08-16T14:42:37+00:00 | 2026-08-16T14:46:40+00:00 | transformers | text-generation | 8B | true | false | marin-community/marin-8b-base | false | false | [
"undisclosed training data",
"unverifiable metric claims",
"no license"
] | true | false | 2026-08-20T23:52:39+00:00 | ||
Naveengangadhara/finance-qwen-dpo-merged | Naveengangadhara | qa | general | yes | apache-2.0 | permissive | 0 | 135 | 0 | 2026-07-10T12:05:19+00:00 | 2026-07-10T19:33:32+00:00 | transformers | text-generation | 494M | true | false | unsloth/qwen2.5-0.5b-unsloth-bnb-4bit | finetuned from unsloth/qwen2.5-0.5b-unsloth-bnb-4bit | true | false | [] | true | false | 2026-08-20T23:52:39+00:00 | |
RichardErkhov/ritamsharma_-_tinyllama-finance-v3-gguf | RichardErkhov | qa | general | yes | none | 0 | 134 | 0 | 2025-03-17T04:00:22+00:00 | 2025-03-17T04:19:05+00:00 | true | false | true | false | [
"unverifiable metric claims",
"no license",
"training data summary was not supported by the model card"
] | true | false | 2026-08-20T23:52:39+00:00 |
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Bit Finance Atlas
An index of finance-related models on the Hugging Face Hub, rebuilt weekly by The Bit Trading Company. It is the data behind the Finance Atlas Space.
Last built 2026-08-20 23:52 UTC · 2,372 models indexed · 1,501 maintained · 0 human-verified · 839 unclear
How it is built
- Harvest —
list_modelssweeps over 25 finance search terms, thetime-series-forecastingpipeline tag, and 8 author accounts. Results are unioned and deduped. - Enrich — per model: license, downloads, likes, commit dates, declared base model, a weights check, and the model card.
- Classify — each card is read by
cached(hf-inference:meta-llama/Llama-3.1-8B-Instruct)at temperature 0 against a fixed JSON schema. Responses are schema-validated; a malformed response is retried once and then recorded asunclearrather than dropped. Models classifiedrelevant: noare excluded.
Honest limits
auto_classifiedis true for every row. An LLM read the model card. It did not run the model, reproduce any metric, or read the training data.verifiedis the human column. It is true only for ids inverified.json, which a Bit Trading researcher edits by hand. Most rows are not verified, and the Space says so on every one of them.has_evalmeans the card claims a named test set with metrics. It is not a judgement that the evaluation is any good.- Absence is not evidence. If a finance model exists on the Hub and is not here, that is a gap in the harvest terms or the classifier, not proof the model does not exist.
Files
| File | What |
|---|---|
atlas.parquet |
the index, one row per model |
snapshots/{date}.parquet |
download counts at each weekly crawl |
taxonomy.json |
the closed vocabularies the classifier answers within |
verified.json |
model ids promoted by a human |
suggestions/*.jsonl |
models suggested through the Space |
Columns
id, author, task, asset_class, relevant, license,
license_bucket, downloads, downloads_30d, likes, created,
last_modified, library, pipeline_tag, params, has_weights, gated,
base_model, adapter_family, training_data_summary, maintained,
has_eval, red_flags, auto_classified, verified, indexed_at
task ∈ {sentiment, ner, summarization, qa, forecasting, classification, embedding, trading_signal, other}
asset_class ∈ {equities, crypto, forex, macro, general}
Disclaimer
The Bit Trading Company publishes research tools and educational software. Nothing here is financial advice. Inclusion in this index is not an endorsement, and the red-flag column is a machine's reading of a model card, not a legal or technical audit.
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