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Upon termination, You must cease all use of the Work and any Derivative Works and delete all copies in Your possession. + +END OF TERMS AND CONDITIONS \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..e8191204c3f231dc0fb77bfbd161d777f1acd984 --- /dev/null +++ b/README.md @@ -0,0 +1,200 @@ +--- +library_name: coreai +license: other +license_name: lfm1.0 +license_link: https://huggingface.co/mlboydaisuke/LFM3-1.7B-CoreAI/blob/main/LICENSE +base_model: LiquidAI/LFM3-1.7B +tags: + - coreai + - aimodel + - apple-silicon + - on-device + - lfm3 + - hybrid + - reasoning + - tool-calling +pipeline_tag: text-generation +base_model_relation: quantized +--- + +# LFM3-1.7B — Apple Core AI (`.aimodel`) + +LiquidAI's [LFM3-1.7B](https://huggingface.co/LiquidAI/LFM3-1.7B) converted to Apple's Core AI (iOS 27 / +macOS 27): a 1.7B model that reasons before it answers and calls tools in XML, in two bundles with a 4,096-token +context. The Mac bundle is one int8 `.aimodel` on the `coreai-pipelined` GPU engine that prefills a prompt 64 +tokens at a time; the iPhone 18 Pro bundle is a Neural Engine build with fixed input shapes, compiled in advance for +that phone's chip (`h19p`). +[CoreAIKit](https://github.com/john-rocky/coreai-kit)'s `ChatSession` and Apple's `LanguageModelSession` drove +both in the checks below; CoreAIKit's LFM3 support is not in a release or on the kit's main branch +([Use it](#use-it)). + +Source: [`LiquidAI/LFM3-1.7B`](https://huggingface.co/LiquidAI/LFM3-1.7B) at revision +`ac2586a34f1a1c03329dbdcdefabd8b6478ddaa7`. Conversion code, gates and notes: +[coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo/tree/main/models/lfm3-1.7b). + +## Bundles + +| path | size | for | what is in it | +|---|---:|---|---| +| `gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/` | 2.72 GB | Mac | `lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel`, `metadata.json`, `tokenizer/` (the source's tokenizer files; the chat template is the vendor's with eight rewrites that render the same string under transformers and parse in swift-jinja 2.3.2 and 2.3.6) | +| `ios-h19p/` | 2.16 GB | iPhone 18 Pro | `lfm3_1_7b_static_pal8_tanh_block_c4096.h19p.ane.aimodelc` (compiled for the iPhone 18 Pro's Neural Engine, `h19p`; its `resources.bin` holds 1.48 GB of weights), `metadata.json`, `tokenizer/` (the same four files) | + +**Mac.** `int8hu`: the MLP and conv-mixer linears int8 per-block-32, the head untied and int8 per-block-32 +symmetric, the attention projections (q, k, v, o and the gate) and the q / k norms in fp32, everything else fp16. +The `.aimodel` holds two functions over the same weights: `main` takes one token per step and `prefill` takes 64; +the pipelined engine sends the prompt through `prefill` 64 tokens at a time while more than 64 tokens remain, and +the last 1–64 tokens through `main` one at a time. On a Mac, Core AI compiles the `.aimodel` for the GPU the first +time it loads and caches the result. + +**iPhone 18 Pro.** The same 24 layers rebuilt the way Apple's iOS Neural Engine path requires (fixed shapes +throughout), with each conv layer's input history kept in its own rows of the KV cache, the sliding window made from +the engine's causal mask, 8-bit palettized weights (k-means, groups of 32; the attention gate fp16) and the tied +head as an int8 table. +It holds contexts of 256 to 4,096 tokens with queries of 8, 16 or 64 tokens, and the compile puts each of its 30 +transformer functions in a Neural Engine region. It is compiled for `h19p` only: no other iPhone has a bundle here. + +## Speed + +**Mac** (M4 Max, macOS 27.0), from a 1,024-token prompt: prefill 1,234 tok/s, 0.83 s to the first token, decode +169.5 tok/s (median of 8 runs, 2026-10-31; the published `.aimodel`, compiled on first load, run by the +coreai-models version CoreAIKit pins: the path an app that uses CoreAIKit takes; `llm-benchmark` with 256 generated +tokens, one process per run). Compiled ahead of time for the Mac GPU it is slower: decode 105.5 tok/s and 1.00 s to +the first token in the same window. + +In that window, alternated with it on the same 1,024 prompt tokens, MLX (mlx-vlm 0.7.11) decodes LiquidAI's +8-bit weights at 189.8 tok/s and llama.cpp (b12001) their Q8_0 at 180.2, both faster than this bundle, and their +4-bit forms faster still (286.9 and 242.1); their bf16 and F16 forms are slower (113.1 and 111.1). All six reach +the first token in 0.23–0.26 s, and every form, this one included, gives transformers bf16's verdicts on the 8 +questions below. What this port adds is a Neural Engine bundle for the iPhone and tool calls through Apple's +`LanguageModelSession`. + +**iPhone 18 Pro** (iOS 27.2), a 768-token prompt and 256 generated tokens: prefill 590.6 tok/s, decode 47.17 +tok/s (medians of 6 trials), one turn 6.71 s (768 / prefill + 255 / decode, not timed), peak footprint 2.82 GB, +thermal state nominal at the start and end of every run. In the gate app the first load on the phone took 34.9 s +and later loads 4.4 s or less; CoreAIKit's test app, with the bundle at its own path, took 32.4 s on its first +load, then 3.7 s and 0.4 s. + +## What was checked + +Against transformers 5.20.2 on the same weights. + +The Mac bundle, on a Mac (M4 Max, macOS 27.0): + +- **Teacher-forced on 17 sequences** (8 questions with thinking off and on, a 1,648-token document) against + transformers fp32, with the `.aimodel` compiled ahead of time for the Mac GPU and the prompts fed the way the + engine feeds them (64-token chunks through `prefill`, the rest one token at a time): top-1 + **2639 / 2682 = 98.40 %** (2,683 positions; the one where transformers' own top-2 gap is under 1e-3 is not + counted); one token at a time throughout: 2637 / 2682. At every chunk boundary the logits agree with the + one-token path to cos ≥ 0.99999. +- **8 questions, thinking off**, greedy: 8 / 8, the same verdicts as transformers bf16. +- **Token gate** (16 greedy tokens vs the fp32 oracle): 16 / 16, also on a 215-token prompt that rides three + chunks; a chat turn stops on `<|im_end|>`. +- **Thinking on**, the same 8 questions, greedy, 3,584-token budget, 3 runs of fresh processes: every run 8 / 8 — + `` closes after 40–237 tokens (median 56) and the answer after it is right (run on the `main`-only + build of the same weights: prompts this short never reach `prefill`, and `main` gives the same values). +- **A tool call**, a tool returning a fresh random value, 3 runs each through CoreAIKit's `KitLanguageModel` and the + zoo's `ZooLanguageModel`: 6 / 6 with the value in the answer verbatim. +- **The bytes published here**: the `.aimodel` is the export re-saved without its source locations (a new + `main.hash`); run again, its teacher-forced values equal the export's at all 2,683 positions, fed in chunks and + one token at a time, and the 8 questions, the token gate and the stop-token check give the same results. +- **The kit's path** (the `.aimodel` specialized on load, as timed above; the teacher-forced pass above was not + repeated on this path): the 8 questions 8 / 8 with the same + replies as the ahead-of-time build, the token gate 16 / 16 on both prompts, and the stop-token turn stops after 6 + tokens (`1+1=2`; transformers fp32 stops after 2, at a step where its own top-2 gap is 0.005). Through + CoreAIKit (`ChatSession` and `KitLanguageModel`), the 8 questions with thinking on (3 launches) and off, a tool + round trip and a 3-turn chat pass. + +The iPhone bundle, on an iPhone 18 Pro (iPhone19,2, iOS 27.2), through the fixed-shape (`static-shape`) engine of the +coreai-models version CoreAIKit pins: + +- **Teacher-forced** over the replies of the same 17 sequences (721 steps, up to 64 a sequence after its prompt) + against transformers fp32: top-1 **692 / 721 = 95.98 %** (bar 93 %; every step's fp32 top-2 gap is at least + 1e-3). The tokens equal those of Apple's own static engine on an iPhone 17 Pro on all 18 prompts, teacher-forced + and generated, and a poisoned fixture fails, as it must. +- **8 questions, thinking off**: 8 / 8, the verdicts of transformers bf16; the stop-token turn stops after 6 tokens. +- **CoreAIKit's catalog path**: `ChatSession(catalog: "lfm3-1.7b")` takes the `ios` variant and loads `ios-h19p/` + (copied into the kit's model store at the path a download would use, so no download ran) on the static-shape + engine. Thinking on, the 8 + questions in 3 fresh launches: 8 / 8 each, `` inside the budget and the reasoning out of the answer. + Thinking off: 8 / 8. A tool round trip through `KitLanguageModel` and `LanguageModelSession`: 3 / 3 with the + value verbatim. With the default configuration, "What is 17 + 25? Answer briefly." gets "17 + 25 = 42.", and a + 3-turn chat recalls its first turn, every turn ending on the stop token. +- With thinking off, 1 of the 8 questions ("How do you say 'thank you' in French?") still opens `` and + reasons for 68 tokens before its answer, which gives "Merci"; transformers bf16 and the Mac bundle answer it + directly. Apple's engine on the iPhone 17 Pro does the same, so this comes from the Neural Engine export itself, + not from CoreAIKit's engine. + +The full table, the transcripts and how the fp16 activations set a floor on this model are on the +[zoo card](https://github.com/john-rocky/coreai-model-zoo/tree/main/models/lfm3-1.7b) and in +[the port notes](https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/lfm3-1.7b-port.md). + +## Use it + +CoreAIKit's support for LFM3 — the XML tool calls, the reasoning stream, the thinking switch and the +`lfm3-1.7b` catalog entry — is not in a CoreAIKit release or on the kit's main branch (0.7.3 does not support +LFM3). The CoreAIKit checks above ran a kit build that has it; with such a build, on a Mac or an iPhone 18 Pro: + +```swift +import CoreAIKit + +let chat = try await ChatSession(catalog: "lfm3-1.7b") +for try await event in await chat.streamResponse(to: "What is 17 + 25? Answer briefly.") { + switch event { + case .thinking(let delta): print(delta, terminator: "") // the reasoning comes first + case .response(let delta): print(delta, terminator: "") // then the answer + default: break + } +} +``` + +Thinking is on by default (the chat template ends the prompt with ``); `maxResponseTokens` covers the +reasoning and the answer together. `ChatSession.Configuration.enableThinking = false` renders the template's +thinking-off prompt; LiquidAI notes that turning thinking off "can be inconsistent, especially for +reasoning-heavy tasks". + +Tool calls come out as XML (`` / `` / ``). CoreAIKit's `KitLanguageModel` +renders the tools the way the chat template does and parses these calls for Apple's `LanguageModelSession` — the +tool-call checks above. + +On an iPhone the kit takes `ios-/` for the architecture Core AI reports for the phone +(`AIModel.deviceArchitectureName`: `h19p` on the iPhone 18 Pro) and falls back to `ios/`. This repo has +`ios-h19p/` only, so on any other iPhone (the iPhone 17 Pro, which reports `h18p`, included) the kit finds no +bundle and throws `variantNotFound` before it downloads anything. Both apps that ran the iPhone checks carried the +`com.apple.developer.kernel.increased-memory-limit` entitlement (peak footprint 2.82 GB in the gate app, up to 2.94 GB +through `ChatSession`); a run without it was not tried. + +Without the kit: the Mac gates ran `llm-runner` built from the zoo's fork of +[apple/coreai-models](https://github.com/apple/coreai-models), whose pipelined engine carries the conv state as an +extra state and finds the `prefill` function by name, with `COREAI_CHUNK_THRESHOLD=1` and +`--inference-engine-variant coreai-pipelined --warmup off`; the iPhone checks ran the `StaticShapeEngine` of that +fork's tag `0.2.8-zoo`, the one CoreAIKit pins. + +## Limits + +- The Mac bundle cannot resume a conversation from its middle: the engine cannot rewind its conv state, so a new + conversation starts from zero state, and CoreAIKit's `ChatSession` prefills the whole + history again each turn (a three-turn chat recalled its first turn). The iPhone bundle keeps the conv history in + the KV cache, and in the 3-turn chat its engine reused the earlier turns' prompt tokens (32, then 70). +- On the Mac the engine always runs the last prompt token through the one-token `main` function, so a prompt's + final 1–64 tokens run one at a time at about the decode speed: a 1,024-token prompt runs 15 chunks and then 64 + single steps. +- 4,096-token context in both bundles. +- The iPhone bundle is for the iPhone 18 Pro only; the iPhone 17 Pro has no bundle here. The Mac bundle is not for + iPhones: on an iPhone 18 Pro the `main`-only `.aimodel`, specializing on the phone (device JIT), had not built its + engine 300 s after launch (the cause is not isolated), and on an iPhone 17 Pro the same int8 weights compiled + ahead of time for its GPU decoded at 9.25 tok/s (median of 4 trials at thermal state serious; 10.5 in the first + run, at fair), that compile holding fp16 copies of the int8 linears. +- On a Mac, Core AI named an ahead-of-time compile's + cache entry after its graph and not its weights, so a second compile of the same graph with other weights ran + with the first one's weights (not checked on an iPhone): an app that switches between such compiles should + delete that compile-cache entry first. The Mac bundle is a JIT `.aimodel`, whose cache entry name covers its + weights. + +## License + +The weights are under the **LFM Open License v1.0** +([LICENSE](https://huggingface.co/mlboydaisuke/LFM3-1.7B-CoreAI/blob/main/LICENSE), carried from +[`LiquidAI/LFM3-1.7B`](https://huggingface.co/LiquidAI/LFM3-1.7B)): Apache-2.0-style grants, with §5: +commercial use by a legal entity at or above US$10 M annual revenue is not licensed (the threshold does not +apply to a qualified non-profit's non-commercial or research use). Converted from LiquidAI's weights; not +affiliated with Apple or LiquidAI. diff --git a/SHA256SUMS b/SHA256SUMS new file mode 100644 index 0000000000000000000000000000000000000000..87f82962d0579b0b632546773bacef1b2f50e8d6 --- /dev/null +++ b/SHA256SUMS @@ -0,0 +1,55 @@ +8c6ae8b8f6d88c87cfb98cf4b5e34e943d0ee07e24215c4121b3159a46e1399d config.json +06c413eb46fd5163feed742bbcbc6cfa49836d13634b5f598ed6eba1a0c02da4 gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel/main.hash +5d4b6a8986bb81efc9ae5a66e7d53ca7d7e8b89d1d5e23188f6f89ec06fec171 gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel/main.mlirb +b0e3b31530aca07d677b797a20988c0bb75d8bb67dbb9b716b4c462c98f9eebf gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel/metadata.json +f2a651e177931475bfd916674413ab80e3d92c2e0e71fcb18e45e790d234df9f 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"conv", + "sliding_attention", + "conv", + "full_attention", + "conv" + ], + "max_position_embeddings": 262144, + "model_type": "lfm3", + "norm_eps": 1e-05, + "num_attention_heads": 16, + "num_hidden_layers": 24, + "num_key_value_heads": 4, + "pad_token_id": 124893, + "rope_parameters": { + "full_attention": { + "partial_rotary_factor": 0.5, + "rope_theta": 1000000.0, + "rope_type": "default" + }, + "sliding_attention": { + "rope_theta": 10000, + "rope_type": "default" + } + }, + "sliding_window": 256, + "tie_word_embeddings": true, + "transformers_version": "5.12.1", + "use_cache": true, + "use_sandwich_norm": true, + "vocab_size": 128000 +} diff --git a/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel/main.hash b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel/main.hash new file mode 100644 index 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+1,93 @@ +{ + "metadata_version": "0.2", + "kind": "llm", + "name": "lfm3_1_7b_decode_int8hu_block32_sym_pf64", + "assets": { + "main": "lfm3_1_7b_decode_int8hu_block32_sym_pf64.aimodel" + }, + "language": { + "tokenizer": "LiquidAI/LFM3-1.7B", + "vocab_size": 128000, + "max_context_length": 4096, + "embedded_tokenizer": true, + "function_map": { + "main": [ + "main", + "prefill" + ] + }, + "chat_template_sha256": "48f23f8579dda4c39f48ff0a9c5f22e68e6b3267898dc9316e9b4161e56643be" + }, + "source": { + "model_definition": "torch", + "hf_model_id": "LiquidAI/LFM3-1.7B", + "hf_revision": "ac2586a34f1a1c03329dbdcdefabd8b6478ddaa7" + }, + "compression": { + "scheme": "int8hu" + }, + "lfm3": { + "inputs": [ + "input_ids", + "position_ids" + ], + "outputs": [ + "logits" + ], + "states": [ + "keyCache", + "valueCache", + "convState" + ], + "kv_slots": [ + 2, + 4, + 6, + 8, + 10, + 12, + 14, + 16, + 18, + 20, + 22 + ], + "conv_slots": [ + 0, + 1, + 3, + 5, + 7, + 9, + 11, + 13, + 15, + 17, + 19, + 21, + 23 + ], + "sliding_window": 256, + "prefill_chunk": 64 + }, + "compilation": { + "date": "2026-10-29T18:59:59.507395+00:00", + "targets": [] + }, + "strip": { + "what": "the .aimodel re-saved after coreai-torch's strip_debug_info: every op's source location (file path, call stack) replaced by an unknown location; the ops and the weights are not touched", + "from_main_mlirb": { + "bytes": 2701984448, + "sha256": "a3a59a7a44b5a573bea4f01928de6be4ff5f539a56f3fbacb50bc2ea5494a961" + }, + "main_mlirb": { + "bytes": 2701679977, + "sha256": "5d4b6a8986bb81efc9ae5a66e7d53ca7d7e8b89d1d5e23188f6f89ec06fec171" + }, + "tool": "coreai_torch.debugging.debug_info.strip_debug_info", + "versions": { + "coreai-torch": "0.4.1", + "coreai-core": "1.0.0b2" + } + } +} \ No newline at end of file diff --git a/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/chat_template.jinja b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..f7203cf9198c608a2850129519a4cff635a78e05 --- /dev/null +++ b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/chat_template.jinja @@ -0,0 +1,308 @@ +{{- bos_token -}} +{%- set preserve_thinking = preserve_thinking | default(false) -%} +{%- set enable_thinking = enable_thinking | default(true) -%} + +{%- macro _json(v) -%} + {%- if ([1, 2] | tojson) == "[1, 2]" -%} + {{- v | tojson -}} + {%- elif v is string -%} + {{- '"' + (v | replace('\\', '\\\\') | replace('"', '\\"') | replace('\n', '\\n') | replace('\r', '\\r') | replace('\t', '\\t') | replace('\b', '\\b') | replace('\f', '\\f')) + '"' -}} + {%- elif v is boolean -%} + {{- "true" if v else "false" -}} + {%- elif v is none -%} + {{- "null" -}} + {%- elif v is mapping -%} + {%- set _jn = namespace(out="{", first=true) -%} + {%- for _jk, _jv in v.items() -%} + {%- set _jn.out = _jn.out + ("" if _jn.first else ", ") + _json(_jk | string) + ": " + _json(_jv) -%} + {%- set _jn.first = false -%} + {%- endfor -%} + {{- _jn.out + "}" -}} + {%- elif v is sequence -%} + {%- set _jn = namespace(out="[", first=true) -%} + {%- for _jx in v -%} + {%- set _jn.out = _jn.out + ("" if _jn.first else ", ") + _json(_jx) -%} + {%- set _jn.first = false -%} + {%- endfor -%} + {{- _jn.out + "]" -}} + {%- else -%} + {{- v | string -}} + {%- endif -%} +{%- endmacro -%} + +{%- macro render_value(v) -%} + {%- if v is string -%} + {{- v -}} + {%- elif v is boolean -%} + {{- "true" if v else "false" -}} + {%- elif v is none -%} + {{- "null" -}} + {%- elif v is mapping or (v is sequence and v is not string) -%} + {{- _json(v) -}} + {%- else -%} + {{- v -}} + {%- endif -%} +{%- endmacro -%} + +{%- macro parse_content(content) -%} + {%- if content is string -%} + {{- content -}} + {%- elif content is mapping and content.get("type") == "image" -%} + {{- "<|vision_start|><|image|><|vision_end|>" -}} + {%- elif content is mapping and content.get("type") == "video" -%} + {{- "<|vision_start|><|video|><|vision_end|>" -}} + {%- elif content is mapping and content.get("type") == "text" -%} + {{- (content.get("text") or "") | string -}} + {%- elif content is mapping -%} + {{- _json(content) -}} + {%- elif content is iterable -%} + {%- set _ns = namespace(result="") -%} + {%- for item in content -%} + {%- if item is string -%} + {%- set _ns.result = _ns.result + item -%} + {%- elif item is mapping and item.get("type") == "image" -%} + {%- set _ns.result = _ns.result + "<|vision_start|><|image|><|vision_end|>" -%} + {%- elif item is mapping and item.get("type") == "video" -%} + {%- set _ns.result = _ns.result + "<|vision_start|><|video|><|vision_end|>" -%} + {%- elif item is mapping and item.get("type") == "text" -%} + {%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%} + {%- else -%} + {%- set _ns.result = _ns.result + _json(item) -%} + {%- endif -%} + {%- endfor -%} + {{- _ns.result -}} + {%- elif content is not none -%} + {{- _json(content) -}} + {%- endif -%} +{%- endmacro -%} + +{%- macro render_tool_calls(tool_calls) -%} + {%- for tool_call in tool_calls -%} + {%- if not loop.first -%}{{- "\n\n" -}}{%- endif -%} + {%- set func = tool_call["function"] if "function" in tool_call else tool_call -%} + {%- set func_args = func.get("arguments") -%} + {%- if func_args is string and (func_args | trim) not in ["", "{}", "null"] -%} + {{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}} + {%- endif -%} + {{- "\n\n" -}} + {%- if func_args is mapping -%} + {%- for arg_name, arg_value in func_args.items() -%} + {{- "\n" + render_value(arg_value) + "\n\n" -}} + {%- endfor -%} + {%- endif -%} + {{- "\n" -}} + {%- endfor -%} +{%- endmacro -%} + +{%- macro tool_to_json(tool) -%} + {%- set fn = tool.function if tool.function is defined else tool -%} + {%- set ns_t = namespace(first=true) -%} + {{- "{" -}} + {%- for k, v in fn.items() -%} + {%- if k != "defer_loading" -%} + {%- if not ns_t.first -%}{{- ", " -}}{%- endif -%} + {%- set ns_t.first = false -%} + {{- _json(k) -}}{{- ": " -}}{{- _json(v) -}} + {%- endif -%} + {%- endfor -%} + {{- "}" -}} +{%- endmacro -%} + +{%- macro is_tool_reference(item) -%} + {{- "1" if item is mapping and item.get("type") == "tool_reference" else "" -}} +{%- endmacro -%} + +{%- macro referenced_tool_to_json(name) -%} + {%- set _ns = namespace(found=none) -%} + {%- for tool in (tools or []) -%} + {%- set fn = tool.function if tool.function is defined else tool -%} + {%- if fn.name == name -%} + {%- set _ns.found = fn -%} + {%- endif -%} + {%- endfor -%} + {%- if _ns.found is none -%} + {{- raise_exception("Tool reference '" + name | string + "' not found in available tools. Every tool referenced by a tool_reference must be in `tools` on every request.") -}} + {%- endif -%} + {{- tool_to_json(_ns.found) -}} +{%- endmacro -%} + +{%- macro render_tool_response(content) -%} + {%- if content is string and "" in content -%} + {{- content -}} + {%- else -%} + {{- "\n" -}} + {%- if content is string -%} + {{- content -}} + {%- elif content is mapping -%} + {{- parse_content(content) -}} + {%- elif content is iterable -%} + {%- for item in content -%} + {%- if not loop.first -%}{{- "\n" -}}{%- endif -%} + {%- if is_tool_reference(item) -%} + {%- if loop.first or not is_tool_reference(loop.previtem) -%} + {{- "\n" -}} + {%- endif -%} + {{- referenced_tool_to_json(item.name) -}} + {%- if loop.last or not is_tool_reference(loop.nextitem) -%} + {{- "\n" -}} + {%- endif -%} + {%- elif item is mapping and item.result is defined and item.result is mapping and item.result.tools is defined -%} + {{- "\n" -}} + {%- set _tl = item.result.tools -%} + {%- if _tl is string -%} + {{- _tl -}} + {%- elif _tl is mapping -%} + {{- tool_to_json(_tl) -}} + {%- else -%} + {%- for t in _tl -%} + {%- if not loop.first -%}{{- "\n" -}}{%- endif -%} + {{- tool_to_json(t) -}} + {%- endfor -%} + {%- endif -%} + {{- "\n" -}} + {%- else -%} + {{- parse_content(item) -}} + {%- endif -%} + {%- endfor -%} + {%- elif content is not none -%} + {{- _json(content) -}} + {%- endif -%} + {{- "\n" -}} + {%- endif -%} +{%- endmacro -%} + +{%- set ns = namespace(system_prompt="", last_user_index=-1) -%} +{%- if messages and messages[0]["role"] == "system" -%} + {%- if messages[0].get("content") -%} + {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%} + {%- endif -%} + {%- set messages = messages[1:] -%} +{%- endif -%} +{%- if tools -%} + {%- set tools_ns = namespace(lines=[]) -%} + {%- for tool in tools -%} + {%- set fn = tool.function if tool.function is defined else tool -%} + {%- set _dyn = (fn.defer_loading is defined and fn.defer_loading) or (tool.defer_loading is defined and tool.defer_loading) -%} + {%- if not _dyn -%} + {%- set tools_ns.lines = tools_ns.lines + [tool_to_json(fn)] -%} + {%- endif -%} + {%- endfor -%} + {%- if tools_ns.lines -%} + {%- set ns.system_prompt = ns.system_prompt + ("\n\n" if ns.system_prompt else "") + "\n" + (tools_ns.lines | join("\n")) + "\n" -%} + {%- endif -%} +{%- endif -%} +{%- if ns.system_prompt -%} + {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} +{%- endif -%} +{%- for message in messages -%} + {%- if message["role"] == "user" -%} + {%- set ns.last_user_index = loop.index0 -%} + {%- endif -%} +{%- endfor -%} +{%- set carry = namespace(pending=[]) -%} +{%- for message in messages -%} + {%- set _next = messages[loop.index0 + 1] if not loop.last else none -%} + {%- set _merge = message.role == "tool" and not message.get("additional_tools") + and _next is not none and _next.role == "tool" and not _next.get("additional_tools") + and message.get("tool_call_id") and _next.get("tool_call_id") == message.get("tool_call_id") -%} + {%- set _items = [] -%} + {%- if message.role == "tool" and not message.get("additional_tools") -%} + {%- set _c = message.get("content") -%} + {%- if _c is string -%} + {%- set _items = [{"type": "text", "text": _c}] if _c else [] -%} + {%- elif _c is mapping -%} + {%- set _items = [_c] -%} + {%- elif _c is iterable -%} + {%- set _items = _c | list -%} + {%- elif _c is not none -%} + {%- set _items = [_c] -%} + {%- endif -%} + {%- endif -%} + {%- if _merge -%} + {%- set carry.pending = carry.pending + _items -%} + {%- else -%} + {{- "<|im_start|>" + message.role + "\n" -}} + {%- if message.role == "assistant" -%} + {%- generation -%} + {%- set thinking = message.thinking if message.thinking is defined else message.reasoning if message.reasoning is defined else message.reasoning_content -%} + {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%} + {%- if thinking is defined and keep_thinking -%} + {{- "" + (thinking or "") + "" -}} + {%- elif keep_thinking and "" not in (message.get("content") if message.get("content") is string else "") -%} + {{- "" -}} + {%- endif -%} + {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%} + {%- set _has_cfm = false -%} + {%- set content = "" -%} + {%- if message.get("content") -%} + {%- set content = parse_content(message.content) -%} + {%- endif -%} + {%- if not keep_thinking -%} + {%- if "" in content -%} + {%- set content = content.split("")[-1] | trim -%} + {%- endif -%} + {%- set content = "" + content -%} + {%- endif -%} + {%- if content.endswith(_cfm_tag) -%} + {%- set _has_cfm = true -%} + {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%} + {%- set content = content[:_trunc_len] -%} + {%- endif -%} + {{- content -}} + {%- if message.tool_calls -%} + {{- render_tool_calls(message.tool_calls) -}} + {%- endif -%} + {%- if _has_cfm -%} + {{- _cfm_tag -}} + {%- endif -%} + {{- "<|im_end|>\n" -}} + {%- endgeneration -%} + {%- elif message.role == "tool" -%} + {%- if message.get("additional_tools") -%} + {%- set _at = message["additional_tools"] -%} + {%- if _at is mapping or (_at is sequence and _at is not string) -%} + {%- set _src = _at -%} + {%- else -%} + {%- set _src = message.get("content") -%} + {%- endif -%} + {%- if _src is string and "" in _src -%} + {{- _src -}} + {%- elif _src is string and "" in _src -%} + {{- "\n" + _src + "\n" -}} + {%- elif _src -%} + {{- "\n\n" -}} + {%- if _src is string -%} + {{- _src -}} + {%- elif _src is mapping -%} + {{- tool_to_json(_src) -}} + {%- else -%} + {%- for t in _src -%} + {%- if not loop.first -%}{{- "\n" -}}{%- endif -%} + {{- tool_to_json(t) -}} + {%- endfor -%} + {%- endif -%} + {{- "\n\n" -}} + {%- endif -%} + {%- elif carry.pending -%} + {{- render_tool_response(carry.pending + _items) -}} + {%- set carry.pending = [] -%} + {%- else -%} + {{- render_tool_response("" if message.get("content") is none else message.get("content")) -}} + {%- endif -%} + {{- "<|im_end|>\n" -}} + {%- else %} + {%- if message.get("content") -%} + {{- parse_content(message["content"]) -}} + {%- endif -%} + {{- "<|im_end|>\n" -}} + {%- endif %} + {%- endif -%} +{%- endfor -%} +{%- if add_generation_prompt -%} + {{- "<|im_start|>assistant\n" -}} + {%- if enable_thinking -%} + {{- "" -}} + {%- else -%} + {{- "" -}} + {%- endif -%} +{%- endif -%} diff --git a/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/special_tokens_map.json b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..5d871daaacbf26aaa9cb47c2935f30e797ee35a7 --- /dev/null +++ b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/special_tokens_map.json @@ -0,0 +1,5 @@ +{ + "bos_token": "<|startoftext|>", + "eos_token": "<|im_end|>", + "pad_token": "<|pad|>" +} diff --git a/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/tokenizer.json b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/tokenizer.json new file mode 100644 index 0000000000000000000000000000000000000000..6378e4e44d17d17b8acfd77923e66aef8c495234 --- /dev/null +++ b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e226e34bface23ccf6e495d157bf77186c1c30a7659880e1a8994db528c3701 +size 17908635 diff --git a/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/tokenizer_config.json b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..562b1ed0762f36c964646b8737081ced6af40754 --- /dev/null +++ b/gpu-pipelined/lfm3_1_7b_decode_int8hu_block32_sym_pf64/tokenizer/tokenizer_config.json @@ -0,0 +1,54 @@ +{ + "audio_out_token": "<|audio_out|>", + "audio_token": "<|audio|>", + "backend": "tokenizers", + "bos_token": "<|startoftext|>", + "eos_token": "<|im_end|>", + "extra_special_tokens": [], + "image_token": "<|image|>", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|pad|>", + "response_template": { + "defaults": { + "role": "assistant" + }, + "start_anchor_pattern": "<\\|im_start\\|>assistant\\n", + "fields": { + "reasoning_content": { + "open_pattern": "\\n?", + "close_pattern": "\\s*", + "content": "text" + }, + "tool_calls": { + "open_pattern": "\\s*[^\\n>]+)>", + "close_pattern": "\\s*", + "repeats": true, + "content": "xml-inline", + "content_args": { + "tag_pattern": "[^>\\n]+)>\\n?(?P.*?)\\n?(?=\\s*(?:\\s*\\Z|\\Z))", + "value_parser": { + "name": "text", + "args": { + "strip": false + } + } + }, + "transform": { + "type": "function", + "function": { + "name": "{name}", + "arguments": "{content}" + } + } + }, + "content": { + "close_pattern": "<\\|im_end\\|>\\s*", + "content": "text" + } + } + }, + "tokenizer_class": "TokenizersBackend", + "video_token": "<|video|>", + "vision_end_token": "<|vision_end|>", + "vision_start_token": "<|vision_start|>" +} diff --git a/ios-h19p/lfm3_1_7b_static_pal8_tanh_block_c4096.h19p.ane.aimodelc/main-h19p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/binary_0.llir.bundle/Manifest.json b/ios-h19p/lfm3_1_7b_static_pal8_tanh_block_c4096.h19p.ane.aimodelc/main-h19p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/binary_0.llir.bundle/Manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab20e0289d231a97624c16c33ac4edb710b6e722 --- /dev/null +++ b/ios-h19p/lfm3_1_7b_static_pal8_tanh_block_c4096.h19p.ane.aimodelc/main-h19p-delegates/MPSGraph/mpsExecutable.mpsgraphpackage/binary_0.llir.bundle/Manifest.json @@ -0,0 +1,5 @@ +{ + "ANECompiler": "10.26.4", + "LLIRVersion": "0.1b", + "Weights": [] +} \ No newline at end of file diff --git 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b/ios-h19p/lfm3_1_7b_static_pal8_tanh_block_c4096.h19p.ane.aimodelc/main.hash new file mode 100644 index 0000000000000000000000000000000000000000..8956847a6ffd71a509dd998f5fcba1cfc525b0ac --- /dev/null +++ b/ios-h19p/lfm3_1_7b_static_pal8_tanh_block_c4096.h19p.ane.aimodelc/main.hash @@ -0,0 +1,2 @@ +Å[ÃÈ:à 'OȾÔÖ][%a�ÁÄ<|image|><|vision_end|>" -}} + {%- elif content is mapping and content.get("type") == "video" -%} + {{- "<|vision_start|><|video|><|vision_end|>" -}} + {%- elif content is mapping and content.get("type") == "text" -%} + {{- (content.get("text") or "") | string -}} + {%- elif content is mapping -%} + {{- _json(content) -}} + {%- elif content is iterable -%} + {%- set _ns = namespace(result="") -%} + {%- for item in content -%} + {%- if item is string -%} + {%- set _ns.result = _ns.result + item -%} + {%- elif item is mapping and item.get("type") == "image" -%} + {%- set _ns.result = _ns.result + "<|vision_start|><|image|><|vision_end|>" -%} + {%- elif item is mapping and item.get("type") == "video" -%} + {%- set _ns.result = _ns.result + "<|vision_start|><|video|><|vision_end|>" -%} + {%- elif item is mapping and item.get("type") == "text" -%} + {%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%} + {%- else -%} + {%- set _ns.result = _ns.result + _json(item) -%} + {%- endif -%} + {%- endfor -%} + {{- _ns.result -}} + {%- elif content is not none -%} + {{- _json(content) -}} + {%- endif -%} +{%- endmacro -%} + +{%- macro render_tool_calls(tool_calls) -%} + {%- for tool_call in tool_calls -%} + {%- if not loop.first -%}{{- "\n\n" -}}{%- endif -%} + {%- set func = tool_call["function"] if "function" in tool_call else tool_call -%} + {%- set func_args = func.get("arguments") -%} + {%- if func_args is string and (func_args | trim) not in ["", "{}", "null"] -%} + {{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}} + {%- endif -%} + {{- "\n\n" -}} + {%- if func_args is mapping -%} + {%- for arg_name, arg_value in func_args.items() -%} + {{- "\n" + render_value(arg_value) + "\n\n" -}} + {%- endfor -%} + {%- endif -%} + {{- "\n" -}} + {%- endfor -%} +{%- endmacro -%} + +{%- macro tool_to_json(tool) -%} + {%- set fn = tool.function if tool.function is defined else tool -%} + {%- set ns_t = namespace(first=true) -%} + {{- "{" -}} + {%- for k, v in fn.items() -%} + {%- if k != "defer_loading" -%} + {%- if not ns_t.first -%}{{- ", " -}}{%- endif -%} + {%- set ns_t.first = false -%} + {{- _json(k) -}}{{- ": " -}}{{- _json(v) -}} + {%- endif -%} + {%- endfor -%} + {{- "}" -}} +{%- endmacro -%} + +{%- macro is_tool_reference(item) -%} + {{- "1" if item is mapping and item.get("type") == "tool_reference" else "" -}} +{%- endmacro -%} + +{%- macro referenced_tool_to_json(name) -%} + {%- set _ns = namespace(found=none) -%} + {%- for tool in (tools or []) -%} + {%- set fn = tool.function if tool.function is defined else tool -%} + {%- if fn.name == name -%} + {%- set _ns.found = fn -%} + {%- endif -%} + {%- endfor -%} + {%- if _ns.found is none -%} + {{- raise_exception("Tool reference '" + name | string + "' not found in available tools. Every tool referenced by a tool_reference must be in `tools` on every request.") -}} + {%- endif -%} + {{- tool_to_json(_ns.found) -}} +{%- endmacro -%} + +{%- macro render_tool_response(content) -%} + {%- if content is string and "" in content -%} + {{- content -}} + {%- else -%} + {{- "\n" -}} + {%- if content is string -%} + {{- content -}} + {%- elif content is mapping -%} + {{- parse_content(content) -}} + {%- elif content is iterable -%} + {%- for item in content -%} + {%- if not loop.first -%}{{- "\n" -}}{%- endif -%} + {%- if is_tool_reference(item) -%} + {%- if loop.first or not is_tool_reference(loop.previtem) -%} + {{- "\n" -}} + {%- endif -%} + {{- referenced_tool_to_json(item.name) -}} + {%- if loop.last or not is_tool_reference(loop.nextitem) -%} + {{- "\n" -}} + {%- endif -%} + {%- elif item is mapping and item.result is defined and item.result is mapping and item.result.tools is defined -%} + {{- "\n" -}} + {%- set _tl = item.result.tools -%} + {%- if _tl is string -%} + {{- _tl -}} + {%- elif _tl is mapping -%} + {{- tool_to_json(_tl) -}} + {%- else -%} + {%- for t in _tl -%} + {%- if not loop.first -%}{{- "\n" -}}{%- endif -%} + {{- tool_to_json(t) -}} + {%- endfor -%} + {%- endif -%} + {{- "\n" -}} + {%- else -%} + {{- parse_content(item) -}} + {%- endif -%} + {%- endfor -%} + {%- elif content is not none -%} + {{- _json(content) -}} + {%- endif -%} + {{- "\n" -}} + {%- endif -%} +{%- endmacro -%} + +{%- set ns = namespace(system_prompt="", last_user_index=-1) -%} +{%- if messages and messages[0]["role"] == "system" -%} + {%- if messages[0].get("content") -%} + {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%} + {%- endif -%} + {%- set messages = messages[1:] -%} +{%- endif -%} +{%- if tools -%} + {%- set tools_ns = namespace(lines=[]) -%} + {%- for tool in tools -%} + {%- set fn = tool.function if tool.function is defined else tool -%} + {%- set _dyn = (fn.defer_loading is defined and fn.defer_loading) or (tool.defer_loading is defined and tool.defer_loading) -%} + {%- if not _dyn -%} + {%- set tools_ns.lines = tools_ns.lines + [tool_to_json(fn)] -%} + {%- endif -%} + {%- endfor -%} + {%- if tools_ns.lines -%} + {%- set ns.system_prompt = ns.system_prompt + ("\n\n" if ns.system_prompt else "") + "\n" + (tools_ns.lines | join("\n")) + "\n" -%} + {%- endif -%} +{%- endif -%} +{%- if ns.system_prompt -%} + {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}} +{%- endif -%} +{%- for message in messages -%} + {%- if message["role"] == "user" -%} + {%- set ns.last_user_index = loop.index0 -%} + {%- endif -%} +{%- endfor -%} +{%- set carry = namespace(pending=[]) -%} +{%- for message in messages -%} + {%- set _next = messages[loop.index0 + 1] if not loop.last else none -%} + {%- set _merge = message.role == "tool" and not message.get("additional_tools") + and _next is not none and _next.role == "tool" and not _next.get("additional_tools") + and message.get("tool_call_id") and _next.get("tool_call_id") == message.get("tool_call_id") -%} + {%- set _items = [] -%} + {%- if message.role == "tool" and not message.get("additional_tools") -%} + {%- set _c = message.get("content") -%} + {%- if _c is string -%} + {%- set _items = [{"type": "text", "text": _c}] if _c else [] -%} + {%- elif _c is mapping -%} + {%- set _items = [_c] -%} + {%- elif _c is iterable -%} + {%- set _items = _c | list -%} + {%- elif _c is not none -%} + {%- set _items = [_c] -%} + {%- endif -%} + {%- endif -%} + {%- if _merge -%} + {%- set carry.pending = carry.pending + _items -%} + {%- else -%} + {{- "<|im_start|>" + message.role + "\n" -}} + {%- if message.role == "assistant" -%} + {%- generation -%} + {%- set thinking = message.thinking if message.thinking is defined else message.reasoning if message.reasoning is defined else message.reasoning_content -%} + {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%} + {%- if thinking is defined and keep_thinking -%} + {{- "" + (thinking or "") + "" -}} + {%- elif keep_thinking and "" not in (message.get("content") if message.get("content") is string else "") -%} + {{- "" -}} + {%- endif -%} + {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%} + {%- set _has_cfm = false -%} + {%- set content = "" -%} + {%- if message.get("content") -%} + {%- set content = parse_content(message.content) -%} + {%- endif -%} + {%- if not keep_thinking -%} + {%- if "" in content -%} + {%- set content = content.split("")[-1] | trim -%} + {%- endif -%} + {%- set content = "" + content -%} + {%- endif -%} + {%- if content.endswith(_cfm_tag) -%} + {%- set _has_cfm = true -%} + {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%} + {%- set content = content[:_trunc_len] -%} + {%- endif -%} + {{- content -}} + {%- if message.tool_calls -%} + {{- render_tool_calls(message.tool_calls) -}} + {%- endif -%} + {%- if _has_cfm -%} + {{- _cfm_tag -}} + {%- endif -%} + {{- "<|im_end|>\n" -}} + {%- endgeneration -%} + {%- elif message.role == "tool" -%} + {%- if message.get("additional_tools") -%} + {%- set _at = message["additional_tools"] -%} + {%- if _at is mapping or (_at is sequence and _at is not string) -%} + {%- set _src = _at -%} + {%- else -%} + {%- set _src = message.get("content") -%} + {%- endif -%} + {%- if _src is string and "" in _src -%} + {{- _src -}} + {%- elif _src is string and "" in _src -%} + {{- "\n" + _src + "\n" -}} + {%- elif _src -%} + {{- "\n\n" -}} + {%- if _src is string -%} + {{- _src -}} + {%- elif _src is mapping -%} + {{- tool_to_json(_src) -}} + {%- else -%} + {%- for t in _src -%} + {%- if not loop.first -%}{{- "\n" -}}{%- endif -%} + {{- tool_to_json(t) -}} + {%- endfor -%} + {%- endif -%} + {{- "\n\n" -}} + {%- endif -%} + {%- elif carry.pending -%} + {{- render_tool_response(carry.pending + _items) -}} + {%- set carry.pending = [] -%} + {%- else -%} + {{- render_tool_response("" if message.get("content") is none else message.get("content")) -}} + {%- endif -%} + {{- "<|im_end|>\n" -}} + {%- else %} + {%- if message.get("content") -%} + {{- parse_content(message["content"]) -}} + {%- endif -%} + {{- "<|im_end|>\n" -}} + {%- endif %} + {%- endif -%} +{%- endfor -%} +{%- if add_generation_prompt -%} + {{- "<|im_start|>assistant\n" -}} + {%- if enable_thinking -%} + {{- "" -}} + {%- else -%} + {{- "" -}} + {%- endif -%} +{%- endif -%} diff --git a/ios-h19p/tokenizer/special_tokens_map.json b/ios-h19p/tokenizer/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..5d871daaacbf26aaa9cb47c2935f30e797ee35a7 --- /dev/null +++ b/ios-h19p/tokenizer/special_tokens_map.json @@ -0,0 +1,5 @@ +{ + "bos_token": "<|startoftext|>", + "eos_token": "<|im_end|>", + "pad_token": "<|pad|>" +} diff --git a/ios-h19p/tokenizer/tokenizer.json b/ios-h19p/tokenizer/tokenizer.json new file mode 100644 index 0000000000000000000000000000000000000000..6378e4e44d17d17b8acfd77923e66aef8c495234 --- /dev/null +++ b/ios-h19p/tokenizer/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e226e34bface23ccf6e495d157bf77186c1c30a7659880e1a8994db528c3701 +size 17908635 diff --git a/ios-h19p/tokenizer/tokenizer_config.json b/ios-h19p/tokenizer/tokenizer_config.json new file mode 100644 index 0000000000000000000000000000000000000000..562b1ed0762f36c964646b8737081ced6af40754 --- /dev/null +++ b/ios-h19p/tokenizer/tokenizer_config.json @@ -0,0 +1,54 @@ +{ + "audio_out_token": "<|audio_out|>", + "audio_token": "<|audio|>", + "backend": "tokenizers", + "bos_token": "<|startoftext|>", + "eos_token": "<|im_end|>", + "extra_special_tokens": [], + "image_token": "<|image|>", + "model_max_length": 1000000000000000019884624838656, + "pad_token": "<|pad|>", + "response_template": { + "defaults": { + "role": "assistant" + }, + "start_anchor_pattern": "<\\|im_start\\|>assistant\\n", + "fields": { + "reasoning_content": { + "open_pattern": "\\n?", + "close_pattern": "\\s*", + "content": "text" + }, + "tool_calls": { + "open_pattern": "\\s*[^\\n>]+)>", + "close_pattern": "\\s*", + "repeats": true, + "content": "xml-inline", + "content_args": { + "tag_pattern": "[^>\\n]+)>\\n?(?P.*?)\\n?(?=\\s*(?:\\s*\\Z|\\Z))", + "value_parser": { + "name": "text", + "args": { + "strip": false + } + } + }, + "transform": { + "type": "function", + "function": { + "name": "{name}", + "arguments": "{content}" + } + } + }, + "content": { + "close_pattern": "<\\|im_end\\|>\\s*", + "content": "text" + } + } + }, + "tokenizer_class": "TokenizersBackend", + "video_token": "<|video|>", + "vision_end_token": "<|vision_end|>", + "vision_start_token": "<|vision_start|>" +}