Model Profile
GLM-5
Use this page to decide where this model is a strong fit. Rankings below are benchmark-backed by use case, with explicit confidence and contributor metrics.
Identity
ID: zai-org/GLM-5
Author: zai-org
Origin: huggingface_catalog
Arch: unknown
Benchmark Coverage
Scored use cases: 11
Avg confidence: 13.4%
Evidence points: 75
Raw rows: 92
Weighted rows: 17
Catalog Metadata
Parameters: unknown
Context window: 4096
Downloads: 166,549
Some fit rows have limited benchmark evidence.
11 of 11 scored use cases have low confidence or thin contributor coverage.
Coverage Diagnostics
actively scoredUse-Case Scores
11
Total Measurements
92
Weighted Measurements
17
Weighted Sources
3
Raw Source Coverage
Weighted Source Coverage
Best Use Cases for This Model
| Use Case | Score |
|---|---|
| Verilog/VHDL generation use_case.eda.verilog_generation | 15.8% |
| Refactoring assistant use_case.dev.refactoring | 15.5% |
| Debugging assistant use_case.dev.debugging | 14.6% |
| Integration test generation use_case.dev.integration_tests | 11.7% |
| Quant research code generation use_case.fin.alpha_research_codegen | 11.6% |
| Code generation use_case.dev.code_generation | 11.1% |
| CAD scripting helper use_case.eng.cad_scripting_helper | 10.4% |
| Vulnerability-oriented code review use_case.cyber.vulnerability_review | 10.4% |
| Literature synthesis with citations use_case.bio.literature_synthesis | 8.9% |
| Cross-paper contradiction analysis use_case.bio.paper_contradictions | 8.9% |
| Knowledge base Q&A (fast, no citations) use_case.business.kb_qna_fast | 7.2% |
Deployment Fit Calculator
Model
GLM-5
zai-org/GLM-5
Insufficient
Unknown parameter count. Cannot estimate deployment fit.
Required VRAM
~0.0GB
Est. Throughput
0.00 tok/s
Deployment Fit Matrix
| GPU | 4-bit | 6-bit | 8-bit |
|---|---|---|---|
| RTX 3060 12GB | Insufficient | Insufficient | Insufficient |
| RTX 3090 24GB | Insufficient | Insufficient | Insufficient |
| RTX 4090 24GB | Insufficient | Insufficient | Insufficient |
| Mac Studio M2 Ultra 192GB | Insufficient | Insufficient | Insufficient |