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Update README.md with Yi-34B benchmark comparison

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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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-
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  | Model | Params | Tool % | No-Tool % | Send % | Price % | Time |
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  |---|---|---|---|---|---|---|
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- | **CrymadX AI Ext** | **32B** | **90.7%** | **86.3%** | **100%** | **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 | [TBD] | [TBD] | [TBD] | [TBD] | [TBD] |
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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 **conversational accuracy (86.3%)**, the most critical
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- metric for a chat interface. DeepSeek R1 32B matches CrymadX on tool selection
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- but collapses to 37.6% on conversational questions it over-executes, firing
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- tools when users are just talking. CrymadX AI is also **~6× faster** than
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- DeepSeek due to no reasoning overhead.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  |---|---|---|---|---|---|---|
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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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+
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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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+
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+ **The tradeoffs:**
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+
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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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