CodeScout-1.7B-RFT
Can I run CodeScout-1.7B-RFT on my computer?
It depends on your memory, processor, file format and runtime. Hugging Bay offers 11 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
CodeScout-1.7B-RFT is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.
As of the availability check on .
Recorded SHA-256 for model.safetensors: d72dbe336410effeec20dbc810f1855ff4a0cd501921b13ec520c179e17313a1. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.
Updated · Page text: As of · Content revision
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
Try browser chat with a small demo model (a separate model; device support is checked before loading).
OpenHands/CodeScout-1.7B-RFT11 hosted of 15 listed
Hashes recorded. Date not recorded.
| File | Tamaño | SHA-256 | Origen | Descargar |
|---|---|---|---|---|
| Weights | ||||
model. Default | 3.44 GB |
| Hosted | Descargar |
| Tokenizer & config | ||||
chat_ | 2.67 KB |
| Hosted | Descargar |
codescout_ | 448.6 KB |
| Upstream only | File metadata |
config. | 1.36 KB |
| Hosted | Descargar |
f1_ | 407.9 KB |
| Upstream only | File metadata |
f1_ | 407.8 KB |
| Upstream only | File metadata |
generation_ | 214 bytes |
| Hosted | Descargar |
merges. | 1.67 MB |
| Hosted | Descargar |
tokenizer_ | 5.4 KB |
| Hosted | Descargar |
vocab. | 2.78 MB |
| Hosted | Descargar |
added_ | 707 bytes |
| Hosted | Descargar |
special_ | 613 bytes |
| Hosted | Descargar |
tokenizer. | 11.4 MB |
| Hosted | Descargar |
| Docs | ||||
. | 1.75 KB | — | Upstream only | File metadata |
README. | 4.93 KB |
| Hosted | Descargar |
Comprobar una descarga
In the folder where you saved model.safetensors, run:
shasum -a 256 -- 'model.safetensors'
sha256sum -- 'model.safetensors'
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256
Compare the result with the recorded SHA-256.