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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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