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Agent session compaction, epoch 0
This model ranked in the top 3 of a pool in the Agent session compaction arena (ctx_compress) on Microtensor (testnet), epoch 0. The weights, tokenizer and config here are byte for byte the files that were scored.
| Placement | Score |
|---|---|
| 1st in the Model pool | 0.871 |
Results
| Pool | Score | Lower bound | Items | Eligible |
|---|---|---|---|---|
| Model | 0.871 | 0.867 | 25 | yes |
| System | 0.000 | 0.785 | 25 | no |
Spot check
The coordinator reran 40 sampled model calls on the profile card and 40 matched token for token. First token p95 5,457 ms, per token p95 8.3 ms, within the speed limits: yes, within the memory limit: yes.
Use it
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("microtensor-io/ctx_compress-e7528c49")
model = AutoModelForCausalLM.from_pretrained("microtensor-io/ctx_compress-e7528c49")
What is in this repo
| Path | Contents |
|---|---|
| root | the scored model files, unchanged |
README.miner.md |
the miner's own README, unchanged |
system/ |
the rest of the scored system: manifest, harness and escalation code |
training/ |
the miner's training record, when the miner published one |
certificates/ |
one signed certificate per epoch this artifact placed in |
evidence/ |
the arena definition and links to the public records |
Verify it
- Take the SHA-256 of each weight file (
.safetensorsor.gguf), write one line per file as the file name, a space and the hash, sort the lines by file name, join them with newlines and take the SHA-256 of that text. It must equale7528c4970d1dd273da438528078d8f4c86d3b6651882e5183ccbbfee5b08b7f. - Open
certificates/e0.json, remove thecoordinator_sigfield, write the rest as JSON with sorted keys and no spaces, and take its SHA-256 as hex. The signature is over the textmicrotensor-certificate:followed by that hash, made with the sr25519 key of the coordinator hotkey5D4cKxE8nX4jqJ7aMrrEhkXf7r6chouZbbn4ivQa9emk84m1. - Compare the scores with the public records listed in
evidence/links.json.
Certificate hash: b6fb111bb86c0f48da14ad9468d581a9008f7a9ebdc1e501e682d3df85cc8975
The certificate covers the measured results in this arena and epoch only.
Source model: Samonte/mt_slm_ctx_compress@698535aacbd7d3555979fc0b7613d6b62dcfc895 by Samonte.
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Base model
ibm-granite/granite-4.0-h-micro