license, base_model, pipeline_tag, language, tags, library_name, datasets, widget
license
base_model
pipeline_tag
language
tags
library_name
datasets
widget
llama2
meta-llama/Llama-2-7b-hf
text-generation
llama
text-generation
rl-mpq
mixed-precision
quantization
fake-quantization
balanced
llama-2
transformers
text
The capital of France is
Llama 2 7B — RL-MPQ Balanced
Standalone RL-MPQ (Reinforcement Learning Mixed-Precision Quantization) checkpoint for the
Balanced scenario — a quantized variant of
meta-llama/Llama-2-7b-hf .
Field
Value
Base model
meta-llama/Llama-2-7b-hf
Scenario
Balanced
Avg bits / weight
4.375
Compression vs FP16
3.6571×
WikiText-2 PPL
5.0437
Layers
32
Bit distribution
{'4': 29, '8': 3}
Format
Fake-quant FP16 + rlmpq_policy.json
Collection: RL-MPQ — Llama 2 7B — all five scenarios for Llama 2 7B.
Usage
Other Llama 2 7B scenarios
Grouped archive (all scenarios in one repo):
AvoCahDoe/llama-2-7b-rlmpq
Method
Phase 3 — PPO agent assigns per-layer bit widths under the Balanced reward target.
Phase 4 — Policy replayed on real weights; WikiText-2 perplexity validates quality.
Export — Fake-quantized FP16 weights compatible with Hugging Face Transformers.
Files
File
Description
config.json
Llama architecture + RL-MPQ metadata
model.safetensors
Fake-quantized weights
rlmpq_policy.json
Per-layer bit-width policy
rlmpq_metrics.json
Validation & PPL summary
Citation