Text Generation
PEFT
Safetensors
conversational-memory
information-extraction
long-context
lora
qwen2.5
conversational
Instructions to use AsadIsmail/prism-memory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AsadIsmail/prism-memory with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "AsadIsmail/prism-memory") - Notebooks
- Google Colab
- Kaggle
| { | |
| "generated_at_unix": 1776521335, | |
| "results": [ | |
| { | |
| "model_key": "release_model", | |
| "model_name": "PRISM-Memory 7B Adapter", | |
| "base_model": "Qwen/Qwen2.5-7B-Instruct", | |
| "elapsed_min": 30.0, | |
| "args": { | |
| "n_lme": 10, | |
| "context_window": 0, | |
| "locomo_temporal_k": 8, | |
| "locomo_adversarial_k": 5, | |
| "lme_multisess_k": 20, | |
| "use_temporal_prompt": false, | |
| "strict_cache": true | |
| }, | |
| "qa_cache": { | |
| "model": "gpt-4.1", | |
| "cache_size": 16969, | |
| "hits": 460, | |
| "misses": 0, | |
| "missing_examples": [] | |
| }, | |
| "locomo": { | |
| "categories": { | |
| "1": 0.3339551926061944, | |
| "2": 0.4978785869736096, | |
| "3": 0.26059974747474746, | |
| "4": 0.514447774438597, | |
| "5": 0.8837209302325582 | |
| }, | |
| "mean": 0.49812044634514124 | |
| }, | |
| "lme": { | |
| "categories": { | |
| "knowledge-update": 0.558840579710145, | |
| "multi-session": 0.13909774436090225, | |
| "single-session-assistant": 0.765639589169001, | |
| "single-session-preference": 0.05196674560130369, | |
| "single-session-user": 0.9133333333333333, | |
| "temporal-reasoning": 0.43166666666666664 | |
| }, | |
| "mean": 0.47675744314022533 | |
| }, | |
| "logged_comparison": { | |
| "logged_locomo_mean": 0.498, | |
| "logged_lme_mean": 0.477, | |
| "locomo_delta": 0.00012044634514124519, | |
| "lme_delta": -0.00024255685977464525 | |
| } | |
| } | |
| ], | |
| "failures": [] | |
| } |