Update README.md with Yi-34B benchmark comparison
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README.md
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@@ -143,22 +143,38 @@ All models evaluated on the same 604-example test set, same system prompts,
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same temperature (0.1), same sampling. Full benchmark code and data included
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in this repository.
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[TBD — TABLE WILL BE POPULATED ONCE BIG-MODEL BENCHMARKS COMPLETE]
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| Model | Params | Tool % | No-Tool % | Send % | Price % | Time |
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| **CrymadX AI Ext** | **32B** | **90.7%** | **86.3%** | **100%** |
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| DeepSeek R1 Distill Qwen 32B | 32B | 91.0% | 37.6% | 98.0% | 100.0% | 264 min |
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| Yi-34B-Chat | 34B |
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| Mixtral-8x7B-Instruct | 47B (13B active) | [TBD] | [TBD] | [TBD] | [TBD] | [TBD] |
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### Analysis
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CrymadX AI Ext leads on
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---
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same temperature (0.1), same sampling. Full benchmark code and data included
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in this repository.
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| Model | Params | Tool % | No-Tool % | Send % | Price % | Time |
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| **CrymadX AI Ext 32B** | **32B** | **90.7%** | **86.3%** | **100.0%** | 83.9% | **45 min** |
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| DeepSeek R1 Distill Qwen 32B | 32B | 91.0% | 37.6% | 98.0% | 100.0% | 264 min |
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| Yi-34B-Chat | 34B | 19.3% | 94.6% | 4.0% | 17.9% | 122 min |
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### Analysis
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**CrymadX AI Ext leads on the metrics that matter for a production chat agent.**
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- **Tool selection: 90.7%** — effectively tied with DeepSeek (91.0%), both
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dominating Yi-34B (19.3%). Yi refuses to call tools in most cases, handling
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requests conversationally instead of executing them.
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- **Conversational accuracy: 86.3%** — CrymadX's best-in-class score. DeepSeek
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collapses to **37.6%** on conversational questions because its reasoning
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traces push it to fire tools for casual messages like "hey" or "thanks."
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Yi scores 94.6% by avoiding tools entirely — but that's useless when users
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actually want something done.
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- **Send flow: 100%** — CrymadX gets all 100 send examples right, calling
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`validate_address` before `estimate_send_fee` on every request.
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- **Speed: ~45 min for 604 examples** — CrymadX is **~6× faster** than
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DeepSeek R1 (264 min) because there's no reasoning overhead. In production,
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this means sub-second response times vs. multi-second reasoning latency.
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**The tradeoffs:**
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DeepSeek R1 32B is competitive on tool selection but its 37.6% conversational
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accuracy makes it unusable as a chat interface — it over-executes, firing
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tools when users are just chatting. Yi-34B-Chat is the opposite: safe
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conversationally but can't reliably execute crypto operations. CrymadX AI Ext
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is the only model that balances both: high tool accuracy AND high
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conversational accuracy AND fast inference.
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