FinBERT is a pre-trained NLP model to analyze sentiment of financial text. It is built by further training the BERT language model in the finance domain, using a large financial corpus and thereby fine-tuning it for financial sentiment classification. Financial PhraseBank by Malo et al. (2014) is used for fine-tuning. For more details, please see the paper FinBERT: Financial Sentiment Analysis with Pre-trained Language Models and our related blog post on Medium. The model will give softmax outputs for three labels: positive, negative or neutral. About Prosus Prosus is a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally…
Open-weight model · Text classification
dLLM-PRM-Gap-causal-lasttoken-dream7b
by Yan Zhan YanZhanPKU/dLLM-PRM-Gap-causal-lasttoken-dream7b
dLLM-PRM-Gap-causal-lasttoken-dream7b is an open-weight model for text classification from Yan Zhan, released under MIT License. Its published files total 36.2 MB.
Public adapter release for dLLM PRM Gap. causal attention with a last-token readout for the submitted readout diagnostic - adapter.safetensors — compact adapter weights - config.json — public base-model id, architecture, and provenance Role: last-token scorer…
Parameters—
Context—
Weights36.2 MB
Licensemit
AccessOpen weights
Monthly Downloads—
Model Card
By Yan Zhan, published under mit, revision 36ff8f2498ff.
Public adapter release for dLLM PRM Gap. causal attention with a last-token readout for the submitted readout diagnostic - adapter.safetensors — compact adapter weights - config.json — public base-model id, architecture, and provenance Role: last-token scorer used for the last-token row in the readout diagnostic.
Read Yan Zhan's full model card
dLLM PRM Gap · Causal last-token PRM
Public adapter release for dLLM PRM Gap. causal attention with a last-token readout for the submitted readout diagnostic
This repository contains only trainable adapter parameters and the reward head. It does not include the base model. The release configuration is recorded in
config.json; the arXiv paper defines the release scope and citation.
Files
adapter.safetensors— compact adapter weightsconfig.json— public base-model id, architecture, and provenance
Load
from huggingface_hub import snapshot_download
from prm.checkpointing import load_diffusion_prm
path = snapshot_download("YanZhanPKU/dLLM-PRM-Gap-causal-lasttoken-dream7b")
model, report = load_diffusion_prm(
checkpoint=path,
model_path="Dream-org/Dream-v0-Instruct-7B",
local_files_only=False,
)
Role: last-token scorer used for the last-token row in the readout diagnostic.
Paper: https://arxiv.org/abs/2609.35472.
Identity and Version
- Repository
- YanZhanPKU/dLLM-PRM-Gap-causal-lasttoken-dream7b
- Publisher
- Yan Zhan
- Task
- Text classification
- Modality
- Text
- Library
- peft
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 36ff8f2498ff162ef9f47a72529a4127bb0292a6
- First published
- 2026-09-26
- Last updated
- 2026-09-30
Files and Weights
4 files, 36.2 MB in total. The weights are 1 file totalling 36.2 MB in safetensors.
Weights1 file · 36.2 MB
Configuration1 file · 933 B
Documentation1 file · 1.8 KB
Repository1 file · 1.5 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter.safetensors | Weights | 36.2 MB | 60e56c09f34a |
| config.json | Configuration | 933 B | — |
| README.md | Documentation | 1.8 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
- Download size
- 36.2 MB
Download from Yan Zhan
Released by Yan Zhan through its official repository on Hugging Face. Read the license.
Built From
- Adapter of Dream-org/Dream-v0-Instruct-7B
- Derived from Dream-org/Dream-v0-Instruct-7B
- Described by arXiv:2609.35472
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 36.2 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About dLLM-PRM-Gap-causal-lasttoken-dream7b
Can I use dLLM-PRM-Gap-causal-lasttoken-dream7b commercially?
Yes. dLLM-PRM-Gap-causal-lasttoken-dream7b is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.
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