internlm / text-classification updated 1 year ago

internlm2-1_8b-reward

Name: internlm2-1_8b-reward
Author: internlm

InternLM2-1.8B-Reward is a reward model trained on the foundation of InternLM2-Chat-1.8B-SFT. This model has been trained using over 2.4 million preference samples, both human-annotated and AI-synthesized, achieving outstanding performance while ensuring a balance between helpful and harmless.

Params

1.7 B

Context

32,768

Downloads 30d

254 K

Likes

Licence: other Not gated SAFETENSORS 2 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

279 K246 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f16	3.4 GB	4.5 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 32K ctx	3.4 GB	5.3 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: InternLM2ForRewardModel
Parameters: 1.7 B
Tensor type: F16
Context length: 32,768
Vocabulary: 92,544
Layers / heads: 24 / 16
Licence: other
First seen on the Hub: 2024-06-27
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

bge-reranker-v2-m3 19.2 M finbert 5.6 M twitter-roberta-base-sentiment-latest 2.6 M bertweet-base-sentiment-analysis 1.5 M RADAR-Vicuna-7B 1.0 M twitter-xlm-roberta-base-sentiment 932 K

Appears in

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