{"schema_version":"onlylabs.public_signal.v1","title":"Arcee AI Model: arcee-ai/arcee-blitz-caller-beta","description":"Arcee AI model signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/f4b6b1a3-c261-448d-af63-60341d612f77","json_url":"https://onlylabs.fyi/signals/f4b6b1a3-c261-448d-af63-60341d612f77/signal.json","generated_at":"2026-06-11T03:03:58.392959+00:00","org":{"slug":"arcee","name":"Arcee AI","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/arcee","dossier_json_url":"https://onlylabs.fyi/labs/arcee/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/f4b6b1a3-c261-448d-af63-60341d612f77","signal_json":"https://onlylabs.fyi/signals/f4b6b1a3-c261-448d-af63-60341d612f77/signal.json","source":"https://huggingface.co/arcee-ai/arcee-blitz-caller-beta","lab_dossier":"https://onlylabs.fyi/labs/arcee","lab_dossier_json":"https://onlylabs.fyi/labs/arcee/dossier.json","analysis":"https://onlylabs.fyi/analysis/arcee","analysis_json":"https://onlylabs.fyi/analysis/arcee/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/arcee/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"Arcee AI published arcee-ai/arcee-blitz-caller-beta. 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Below you'll find instructions on how to launch the service using vllm as well as detailed performance metrics. Overview Arcee Blitz Caller is built on top of the Mistral-Small-24B-Base-2501 model and is designed for efficient and accurate tool calling operations. Base Model - [mistralai/Mistral-Small-24B-Base-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Base-2501) Quick Start To launch the service using vllm, run the following command: ```bash vllm serve arcee-ai/Arcee-Blitz-Caller \\ --enable-auto-tool-choice \\ --tool-call-parser hermes ``` Performance Metrics Non-Live Performance | Metric | Score | |--------|--------| | AST Accuracy | 85.15% | | Simple AST | 70.08% | | Multiple AST | 93.50% | | Parallel AST | 89.50% | | Parallel Multiple AST | 87.50% | Live Performance | Metric | Score | |--------|--------| | Accuracy | 74.19% | | Simple AST | 71.71% | | Multiple AST | 75.02% | | Parallel AST | 43.75% | | Parallel Multiple AST |..."},"evidence_pages":[{"url":"https://huggingface.co/arcee-ai/arcee-blitz-caller-beta/raw/main/README.md","final_url":"https://huggingface.co/arcee-ai/arcee-blitz-caller-beta/raw/main/README.md","title":"arcee-ai/arcee-blitz-caller-beta model card","http_status":200,"content_type":"text/plain; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-11T03:03:58.392959+00:00","bytes":2054,"raw_path":"db47f8689dffc919e42fb8669b9efe1ff6724d918fcc0bf82d3cd9b179db09c4.md","content_hash":"b4a871bd11d72e9c23cfc8c327b9fefca2fb7a42379989a31a477effd1bdf25d","excerpt_chars":1200,"truncated":true,"excerpt":"--- license: apache-2.0 base_model: - mistralai/Mistral-Small-24B-Base-2501 --- Arcee Blitz Caller Beta This repository contains a beta version of the Arcee Blitz Caller, a powerful tool for automated function calling and tool selection. Below you'll find instructions on how to launch the service using vllm as well as detailed performance metrics. Overview Arcee Blitz Caller is built on top of the Mistral-Small-24B-Base-2501 model and is designed for efficient and accurate tool calling operations. Base Model - [mistralai/Mistral-Small-24B-Base-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Base-2501) Quick Start To launch the service using vllm, run the following command: ```bash vllm serve arcee-ai/Arcee-Blitz-Caller \\ --enable-auto-tool-choice \\ --tool-call-parser hermes ``` Performance Metrics Non-Live Performance | Metric | Score | |--------|--------| | AST Accuracy | 85.15% | | Simple AST | 70.08% | | Multiple AST | 93.50% | | Parallel AST | 89.50% | | Parallel Multiple AST | 87.50% | Live Performance | Metric | Score | |--------|--------| | Accuracy | 74.19% | | Simple AST | 71.71% | | Multiple AST | 75.02% | | Parallel AST | 43.75% | | Parallel Multiple AST |..."}],"related_signals":[{"id":"429af5af-ee30-4a25-874a-139c404e5dec","url":"https://onlylabs.fyi/signals/429af5af-ee30-4a25-874a-139c404e5dec","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Thinking","title":"arcee-ai/Trinity-Large-Thinking","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-04-01T03:35:06+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"b357f482-7717-4ab4-ae03-f146b4efef08","url":"https://onlylabs.fyi/signals/b357f482-7717-4ab4-ae03-f146b4efef08","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Preview","title":"arcee-ai/Trinity-Large-Preview","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T14:52:00+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"d077f164-5763-41f9-925d-f7baa485ef29","url":"https://onlylabs.fyi/signals/d077f164-5763-41f9-925d-f7baa485ef29","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-Base","title":"arcee-ai/Trinity-Large-Base","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T11:31:37+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"a4e0c878-5f8b-40c6-9f98-4ee804203235","url":"https://onlylabs.fyi/signals/a4e0c878-5f8b-40c6-9f98-4ee804203235","source_url":"https://huggingface.co/arcee-ai/Trinity-Large-TrueBase","title":"arcee-ai/Trinity-Large-TrueBase","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2026-01-27T10:15:24+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","url":"https://onlylabs.fyi/signals/b8d9abb6-e894-46ef-9a30-93ce6bcf43fc","source_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-NoPE","title":"arcee-ai/AFM-4.5B-Base-KDA-NoPE","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-14T21:35:17+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"},{"id":"854622d8-0334-40e4-8706-9c1a05e69792","url":"https://onlylabs.fyi/signals/854622d8-0334-40e4-8706-9c1a05e69792","source_url":"https://huggingface.co/arcee-ai/AFM-4.5B-Base-KDA-Only","title":"arcee-ai/AFM-4.5B-Base-KDA-Only","context":null,"kind":{"key":"model_released","label":"Model"},"org":{"slug":"arcee","name":"Arcee AI","category":"neolab"},"occurred_at":"2025-12-14T21:35:04+00:00","first_seen_at":"2026-06-06T01:50:05.756622+00:00","date_source":"source"}]}