Muse-Glimmer-30B text decoder -> Core AI: decode int4hu (--head-sym), token-exact vs fp16 oracle, 26.69 tok/s on M4 Max
Browse files- .gitattributes +2 -0
- LICENSE +202 -0
- README.md +97 -0
- config.json +222 -0
- gate-muse-glimmer-30b-int4hu.json +115 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/metadata.json +30 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/main.hash +1 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/main.mlirb +3 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/metadata.json +5 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/chat_template.jinja +211 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/tokenizer.json +3 -0
- gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/tokenizer_config.json +2102 -0
.gitattributes
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gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
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gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
base_model: meta-models/Muse-Glimmer-30B
|
| 4 |
+
tags:
|
| 5 |
+
- coreai
|
| 6 |
+
- aimodel
|
| 7 |
+
- apple-silicon
|
| 8 |
+
- on-device
|
| 9 |
+
- muse-glimmer
|
| 10 |
+
pipeline_tag: text-generation
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Muse-Glimmer-30B (text decoder) — Apple Core AI (`.aimodel`)
|
| 14 |
+
|
| 15 |
+
**Meta's Muse-Glimmer-30B converted to Apple's Core AI** (the Core ML successor announced at
|
| 16 |
+
WWDC26), ready to run on macOS 27. This is the **text decoder** of their 30B agentic VLM —
|
| 17 |
+
the perception encoder is not included.
|
| 18 |
+
|
| 19 |
+
**It decodes faster than Meta's own on-device Apple-GPU build of the same model.**
|
| 20 |
+
|
| 21 |
+
| | weights | decode tok/s | prompt tok/s |
|
| 22 |
+
| --- | ---: | ---: | ---: |
|
| 23 |
+
| ExecuTorch `k-quant-17G-128K-text-solo-metal` *(Meta's published figure)* | 17.9 GB | 23.7 | — |
|
| 24 |
+
| **this bundle — Core AI `int4hu`** | **16.35 GB** | **26.69** | **269.0** |
|
| 25 |
+
|
| 26 |
+
**+12.6% decode on 8.7% fewer bytes**, on Apple's stock `coreai-pipelined` GPU engine with no
|
| 27 |
+
custom Metal kernels.
|
| 28 |
+
|
| 29 |
+
*MacBook Pro M4 Max (40-core GPU, 128 GB, macOS 27.0 26A5406e), 512 prompt / 1024 generation /
|
| 30 |
+
3 trials, `llm-benchmark`. Meta's figure is theirs, not a re-measurement: batch 1, greedy,
|
| 31 |
+
averaged over a prompt set they do not publish. Their M4 Max is the same 546 GB/s bin —
|
| 32 |
+
23.7 × 17.9 GB is 424 GB/s of traffic, which the 410 GB/s bin cannot produce. Their `metal`
|
| 33 |
+
backend is MLX-native, per their own README.*
|
| 34 |
+
|
| 35 |
+
Decode barely moves with context — 27.46 tok/s at 128 prompt tokens, 26.73 at 2048 — which is
|
| 36 |
+
what 39 of 52 layers capped at a 2048-token window should look like.
|
| 37 |
+
|
| 38 |
+
**Not claimed here:** Meta's **DFlash** speculative figure (37.8 tok/s) is a different weight
|
| 39 |
+
class; it runs a separate 5.1 GB block-diffusion drafter that predicts 16 tokens per pass, and
|
| 40 |
+
nothing in this bundle speculates.
|
| 41 |
+
|
| 42 |
+
## The architecture, and what the port had to do about it
|
| 43 |
+
|
| 44 |
+
52 layers, hidden 6656, GQA 32 q / 2 kv heads (head_dim 128), SwiGLU intermediate 19968, vocab
|
| 45 |
+
202 048 with an **untied** lm_head, 131 072 context — **27.855 B** parameters in the text tower
|
| 46 |
+
alone. Gemma-3 shaped, with four things that are not:
|
| 47 |
+
|
| 48 |
+
* `sliding(2048) × 3 + full × 1` layer pattern where the **full layers are NoPE** —
|
| 49 |
+
`layer_rope_theta[i] == 0` marks them, and only the sliding layers carry rotary.
|
| 50 |
+
* A **sigmoid output gate** on every attention layer, reading the same pre-attention hidden
|
| 51 |
+
states as Q/K/V — so the re-authored module folds all four into one `qkvg_proj` (4 GEMMs → 1).
|
| 52 |
+
* **Weight-less** RMSNorm on Q/K and on the embedding output.
|
| 53 |
+
* **Two epsilons** across the sandwich norms (1e-5 pre, 1e-8 post), and logits pre-scaled by
|
| 54 |
+
`output_multiplier` before a tanh softcap at 20.
|
| 55 |
+
|
| 56 |
+
`qk_scale_factor` (3.87) is folded into the SDPA scale rather than applied to Q — attention is
|
| 57 |
+
`softmax((aQ)·Kᵀ/√d)`, `a` is a scalar and rotary is a rotation, so it is algebraically
|
| 58 |
+
identical and saves a full-width multiply per layer.
|
| 59 |
+
|
| 60 |
+
## Gates
|
| 61 |
+
|
| 62 |
+
| stage | result |
|
| 63 |
+
| --- | --- |
|
| 64 |
+
| Authoring vs HF `transformers` 5.15, fp32, real weights, 8 layers (2 NoPE) | cos **1.0000** at embedding, every layer, final norm and logits; top-1 match; **0** argmax flips |
|
| 65 |
+
| Full-size key binding (52 layers) | 471/471 parameters bound; 0 missing / 0 unexpected / 0 shape mismatch |
|
| 66 |
+
| This bundle vs the fp16 oracle, `coreai_gate.py` | **PASS — token-for-token** over 24 generated tokens |
|
| 67 |
+
|
| 68 |
+
## Run it
|
| 69 |
+
|
| 70 |
+
```bash
|
| 71 |
+
llm-benchmark --model gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym \
|
| 72 |
+
-p 512 -g 1024 -n 3
|
| 73 |
+
|
| 74 |
+
llm-runner --model gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym \
|
| 75 |
+
--prompt "..." --temperature 0.0 \
|
| 76 |
+
--inference-engine-variant coreai-pipelined --warmup off
|
| 77 |
+
```
|
| 78 |
+
|
| 79 |
+
Needs ~17 GB of unified memory for the weights plus the KV cache (52 KB/token; 0.44 GB at the
|
| 80 |
+
8192 context this bundle is exported for). **Mac only** — no quantization brings 16.35 GB to an
|
| 81 |
+
iPhone.
|
| 82 |
+
|
| 83 |
+
## Layout
|
| 84 |
+
|
| 85 |
+
```
|
| 86 |
+
gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/
|
| 87 |
+
muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/
|
| 88 |
+
metadata.json
|
| 89 |
+
tokenizer/ (incl. chat_template.jinja, copied verbatim)
|
| 90 |
+
config.json the source config, so zoo_verify can compare against it
|
| 91 |
+
LICENSE carried from the source repo (Apache-2.0)
|
| 92 |
+
```
|
| 93 |
+
|
| 94 |
+
Recipe, export script and the port's findings:
|
| 95 |
+
[coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo) —
|
| 96 |
+
`models/muse-glimmer-30b/`, `conversion/export_muse_glimmer_decode_pipelined.py`,
|
| 97 |
+
`knowledge/muse-glimmer-port.md`.
|
config.json
ADDED
|
@@ -0,0 +1,222 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"MuseGlimmerForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"image_token_id": 200092,
|
| 7 |
+
"model_type": "muse_glimmer",
|
| 8 |
+
"out_hidden_size": 6144,
|
| 9 |
+
"projector_hidden_act": "gelu",
|
| 10 |
+
"projector_hidden_size": 4096,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"bos_token_id": 200000,
|
| 15 |
+
"eos_token_id": 200001,
|
| 16 |
+
"final_logit_softcapping": 20.0,
|
| 17 |
+
"head_dim": 128,
|
| 18 |
+
"hidden_activation": "silu",
|
| 19 |
+
"hidden_size": 6656,
|
| 20 |
+
"initializer_range": 0.02,
|
| 21 |
+
"intermediate_size": 19968,
|
| 22 |
+
"layer_rope_theta": [
|
| 23 |
+
500000.0,
|
| 24 |
+
500000.0,
|
| 25 |
+
500000.0,
|
| 26 |
+
0,
|
| 27 |
+
500000.0,
|
| 28 |
+
500000.0,
|
| 29 |
+
500000.0,
|
| 30 |
+
0,
|
| 31 |
+
500000.0,
|
| 32 |
+
500000.0,
|
| 33 |
+
500000.0,
|
| 34 |
+
0,
|
| 35 |
+
500000.0,
|
| 36 |
+
500000.0,
|
| 37 |
+
500000.0,
|
| 38 |
+
0,
|
| 39 |
+
500000.0,
|
| 40 |
+
500000.0,
|
| 41 |
+
500000.0,
|
| 42 |
+
0,
|
| 43 |
+
500000.0,
|
| 44 |
+
500000.0,
|
| 45 |
+
500000.0,
|
| 46 |
+
0,
|
| 47 |
+
500000.0,
|
| 48 |
+
500000.0,
|
| 49 |
+
500000.0,
|
| 50 |
+
0,
|
| 51 |
+
500000.0,
|
| 52 |
+
500000.0,
|
| 53 |
+
500000.0,
|
| 54 |
+
0,
|
| 55 |
+
500000.0,
|
| 56 |
+
500000.0,
|
| 57 |
+
500000.0,
|
| 58 |
+
0,
|
| 59 |
+
500000.0,
|
| 60 |
+
500000.0,
|
| 61 |
+
500000.0,
|
| 62 |
+
0,
|
| 63 |
+
500000.0,
|
| 64 |
+
500000.0,
|
| 65 |
+
500000.0,
|
| 66 |
+
0,
|
| 67 |
+
500000.0,
|
| 68 |
+
500000.0,
|
| 69 |
+
500000.0,
|
| 70 |
+
0,
|
| 71 |
+
500000.0,
|
| 72 |
+
500000.0,
|
| 73 |
+
500000.0,
|
| 74 |
+
0
|
| 75 |
+
],
|
| 76 |
+
"layer_types": [
|
| 77 |
+
"sliding_attention",
|
| 78 |
+
"sliding_attention",
|
| 79 |
+
"sliding_attention",
|
| 80 |
+
"full_attention",
|
| 81 |
+
"sliding_attention",
|
| 82 |
+
"sliding_attention",
|
| 83 |
+
"sliding_attention",
|
| 84 |
+
"full_attention",
|
| 85 |
+
"sliding_attention",
|
| 86 |
+
"sliding_attention",
|
| 87 |
+
"sliding_attention",
|
| 88 |
+
"full_attention",
|
| 89 |
+
"sliding_attention",
|
| 90 |
+
"sliding_attention",
|
| 91 |
+
"sliding_attention",
|
| 92 |
+
"full_attention",
|
| 93 |
+
"sliding_attention",
|
| 94 |
+
"sliding_attention",
|
| 95 |
+
"sliding_attention",
|
| 96 |
+
"full_attention",
|
| 97 |
+
"sliding_attention",
|
| 98 |
+
"sliding_attention",
|
| 99 |
+
"sliding_attention",
|
| 100 |
+
"full_attention",
|
| 101 |
+
"sliding_attention",
|
| 102 |
+
"sliding_attention",
|
| 103 |
+
"sliding_attention",
|
| 104 |
+
"full_attention",
|
| 105 |
+
"sliding_attention",
|
| 106 |
+
"sliding_attention",
|
| 107 |
+
"sliding_attention",
|
| 108 |
+
"full_attention",
|
| 109 |
+
"sliding_attention",
|
| 110 |
+
"sliding_attention",
|
| 111 |
+
"sliding_attention",
|
| 112 |
+
"full_attention",
|
| 113 |
+
"sliding_attention",
|
| 114 |
+
"sliding_attention",
|
| 115 |
+
"sliding_attention",
|
| 116 |
+
"full_attention",
|
| 117 |
+
"sliding_attention",
|
| 118 |
+
"sliding_attention",
|
| 119 |
+
"sliding_attention",
|
| 120 |
+
"full_attention",
|
| 121 |
+
"sliding_attention",
|
| 122 |
+
"sliding_attention",
|
| 123 |
+
"sliding_attention",
|
| 124 |
+
"full_attention",
|
| 125 |
+
"sliding_attention",
|
| 126 |
+
"sliding_attention",
|
| 127 |
+
"sliding_attention",
|
| 128 |
+
"full_attention"
|
| 129 |
+
],
|
| 130 |
+
"max_position_embeddings": 131072,
|
| 131 |
+
"model_type": "muse_glimmer_text",
|
| 132 |
+
"num_attention_heads": 32,
|
| 133 |
+
"num_hidden_layers": 52,
|
| 134 |
+
"num_key_value_heads": 2,
|
| 135 |
+
"output_multiplier": 0.19611613513818404,
|
| 136 |
+
"pad_token_id": null,
|
| 137 |
+
"post_norm_eps": 1e-08,
|
| 138 |
+
"qk_scale_factor": 3.87,
|
| 139 |
+
"rms_norm_eps": 1e-05,
|
| 140 |
+
"rope_parameters": {
|
| 141 |
+
"rope_theta": 500000.0,
|
| 142 |
+
"rope_type": "default"
|
| 143 |
+
},
|
| 144 |
+
"sliding_window": 2048,
|
| 145 |
+
"tie_word_embeddings": false,
|
| 146 |
+
"use_cache": true,
|
| 147 |
+
"vocab_size": 202048
|
| 148 |
+
},
|
| 149 |
+
"transformers_version": "5.15.0.dev0",
|
| 150 |
+
"video_token_id": 200091,
|
| 151 |
+
"vision_config": {
|
| 152 |
+
"hidden_act": "gelu",
|
| 153 |
+
"hidden_size": 1536,
|
| 154 |
+
"intermediate_size": 8960,
|
| 155 |
+
"layer_norm_eps": 1e-05,
|
| 156 |
+
"layer_types": [
|
| 157 |
+
"window_attention",
|
| 158 |
+
"window_attention",
|
| 159 |
+
"window_attention",
|
| 160 |
+
"full_attention",
|
| 161 |
+
"window_attention",
|
| 162 |
+
"window_attention",
|
| 163 |
+
"window_attention",
|
| 164 |
+
"full_attention",
|
| 165 |
+
"window_attention",
|
| 166 |
+
"window_attention",
|
| 167 |
+
"window_attention",
|
| 168 |
+
"full_attention",
|
| 169 |
+
"window_attention",
|
| 170 |
+
"window_attention",
|
| 171 |
+
"window_attention",
|
| 172 |
+
"full_attention",
|
| 173 |
+
"window_attention",
|
| 174 |
+
"window_attention",
|
| 175 |
+
"window_attention",
|
| 176 |
+
"full_attention",
|
| 177 |
+
"window_attention",
|
| 178 |
+
"window_attention",
|
| 179 |
+
"window_attention",
|
| 180 |
+
"full_attention",
|
| 181 |
+
"window_attention",
|
| 182 |
+
"window_attention",
|
| 183 |
+
"window_attention",
|
| 184 |
+
"full_attention",
|
| 185 |
+
"window_attention",
|
| 186 |
+
"window_attention",
|
| 187 |
+
"window_attention",
|
| 188 |
+
"full_attention",
|
| 189 |
+
"window_attention",
|
| 190 |
+
"window_attention",
|
| 191 |
+
"window_attention",
|
| 192 |
+
"full_attention",
|
| 193 |
+
"window_attention",
|
| 194 |
+
"window_attention",
|
| 195 |
+
"window_attention",
|
| 196 |
+
"full_attention",
|
| 197 |
+
"window_attention",
|
| 198 |
+
"window_attention",
|
| 199 |
+
"window_attention",
|
| 200 |
+
"full_attention",
|
| 201 |
+
"window_attention",
|
| 202 |
+
"window_attention",
|
| 203 |
+
"window_attention",
|
| 204 |
+
"full_attention",
|
| 205 |
+
"window_attention",
|
| 206 |
+
"full_attention"
|
| 207 |
+
],
|
| 208 |
+
"max_position_embeddings": 1024,
|
| 209 |
+
"merge_size": 2,
|
| 210 |
+
"model_type": "muse_glimmer_vision",
|
| 211 |
+
"num_attention_heads": 16,
|
| 212 |
+
"num_hidden_layers": 50,
|
| 213 |
+
"patch_size": 14,
|
| 214 |
+
"patch_temporal": 2,
|
| 215 |
+
"pos_emb_height": 32,
|
| 216 |
+
"pos_emb_width": 32,
|
| 217 |
+
"rope_parameters": {
|
| 218 |
+
"rope_theta": 10000.0,
|
| 219 |
+
"rope_type": "default"
|
| 220 |
+
}
|
| 221 |
+
}
|
| 222 |
+
}
|
gate-muse-glimmer-30b-int4hu.json
ADDED
|
@@ -0,0 +1,115 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"result": "PASS",
|
| 3 |
+
"arch": "muse_glimmer",
|
| 4 |
+
"bundle": "muse_glimmer_30b_decode_int4hu_block32_sym",
|
| 5 |
+
"artifact": null,
|
| 6 |
+
"source_model": {
|
| 7 |
+
"hf_id": "meta-models/Muse-Glimmer-30B",
|
| 8 |
+
"revision": null,
|
| 9 |
+
"weights_pinned": false,
|
| 10 |
+
"note": "the oracle loads the source repo's default branch; the recipe's revision pins the export, not this comparison"
|
| 11 |
+
},
|
| 12 |
+
"protocol": {
|
| 13 |
+
"prompt": "List the first six prime numbers, separated by commas, then stop.",
|
| 14 |
+
"max_new_tokens": 24,
|
| 15 |
+
"greedy": true,
|
| 16 |
+
"oracle_dtype": "fp16",
|
| 17 |
+
"engine_variant": "coreai-pipelined",
|
| 18 |
+
"warmup": "off",
|
| 19 |
+
"env": {
|
| 20 |
+
"COREAI_CHUNK_THRESHOLD": "1"
|
| 21 |
+
},
|
| 22 |
+
"tie_rule": "a first divergence passes only where the oracle's top-2 margin < 0.1"
|
| 23 |
+
},
|
| 24 |
+
"input_ids": [
|
| 25 |
+
200000,
|
| 26 |
+
1084,
|
| 27 |
+
290,
|
| 28 |
+
1660,
|
| 29 |
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5544,
|
| 30 |
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7186,
|
| 31 |
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4428,
|
| 32 |
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|
| 33 |
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|
| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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26
|
| 40 |
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],
|
| 41 |
+
"oracle": {
|
| 42 |
+
"gen_ids": [
|
| 43 |
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430,
|
| 44 |
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141026,
|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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| 50 |
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| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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24,
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| 58 |
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| 63 |
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| 64 |
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|
| 65 |
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4428,
|
| 66 |
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583
|
| 67 |
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],
|
| 68 |
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"gen_text": " - brainly.com\nList the first six prime numbers, separated by commas, then stop.\nThe first six prime numbers are",
|
| 69 |
+
"top2_margins": [
|
| 70 |
+
0.07434696704149246,
|
| 71 |
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0.36495381593704224,
|
| 72 |
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0.9999533891677856,
|
| 73 |
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0.9960373044013977,
|
| 74 |
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0.9947583675384521,
|
| 75 |
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0.9999765753746033,
|
| 76 |
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0.9999991655349731,
|
| 77 |
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0.9999752044677734,
|
| 78 |
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0.9999822378158569,
|
| 79 |
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0.9999983906745911,
|
| 80 |
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0.9999557733535767,
|
| 81 |
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0.9999991655349731,
|
| 82 |
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|
| 83 |
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0.9999896883964539,
|
| 84 |
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0.9999369978904724,
|
| 85 |
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0.9999722838401794,
|
| 86 |
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0.9999945163726807,
|
| 87 |
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0.9984380602836609,
|
| 88 |
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0.5067136287689209,
|
| 89 |
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0.9513120651245117,
|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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0.9047750234603882
|
| 94 |
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]
|
| 95 |
+
},
|
| 96 |
+
"engine": {
|
| 97 |
+
"gen_text": " - brainly.com\nList the first six prime numbers, separated by commas, then stop.\nThe first six prime numbers are"
|
| 98 |
+
},
|
| 99 |
+
"match": {
|
| 100 |
+
"exact_prefix": 24,
|
| 101 |
+
"of": 24,
|
| 102 |
+
"first_divergence": null
|
| 103 |
+
},
|
| 104 |
+
"schema": "coreai-gate-transcript/1",
|
| 105 |
+
"generated_at": "2026-08-15T09:40:09+00:00",
|
| 106 |
+
"environment": {
|
| 107 |
+
"platform": "macOS-27.0-arm64-arm-64bit-Mach-O",
|
| 108 |
+
"python": "3.14.6",
|
| 109 |
+
"runner": "/Users/majimadaisuke/code/coreai/coreai-models/.build/release/llm-runner"
|
| 110 |
+
},
|
| 111 |
+
"recheck": {
|
| 112 |
+
"engine_side_only": "Download the bundle at the pinned revision, then feed the recorded input_ids to llm-runner with the protocol above (greedy, warmup off, coreai-pipelined, COREAI_CHUNK_THRESHOLD=1). The output must equal engine.gen_text. No oracle, no fp32 weights, no GPU beyond the one running the bundle.",
|
| 113 |
+
"full_gate": "python3 conversion/coreai_gate.py <bundle> meta-models/Muse-Glimmer-30B --arch muse_glimmer --prompt 'List the first six prime numbers, separated by commas, then stop.' -n 24"
|
| 114 |
+
}
|
| 115 |
+
}
|
gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/metadata.json
ADDED
|
@@ -0,0 +1,30 @@
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata_version": "0.2",
|
| 3 |
+
"kind": "llm",
|
| 4 |
+
"name": "muse_glimmer_30b_decode_int4hu_block32_sym",
|
| 5 |
+
"assets": {
|
| 6 |
+
"main": "muse_glimmer_30b_decode_int4hu_block32_sym.aimodel"
|
| 7 |
+
},
|
| 8 |
+
"language": {
|
| 9 |
+
"tokenizer": "meta-models/Muse-Glimmer-30B",
|
| 10 |
+
"vocab_size": 202048,
|
| 11 |
+
"max_context_length": 8192,
|
| 12 |
+
"embedded_tokenizer": true,
|
| 13 |
+
"function_map": {
|
| 14 |
+
"main": [
|
| 15 |
+
"main"
|
| 16 |
+
]
|
| 17 |
+
}
|
| 18 |
+
},
|
| 19 |
+
"source": {
|
| 20 |
+
"model_definition": "torch",
|
| 21 |
+
"hf_model_id": "meta-models/Muse-Glimmer-30B"
|
| 22 |
+
},
|
| 23 |
+
"compression": {
|
| 24 |
+
"scheme": "int4hu"
|
| 25 |
+
},
|
| 26 |
+
"compilation": {
|
| 27 |
+
"date": "2026-08-15T09:25:01.988974+00:00",
|
| 28 |
+
"targets": []
|
| 29 |
+
}
|
| 30 |
+
}
|
gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/main.hash
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
+
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gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/main.mlirb
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 16346442285
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gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/muse_glimmer_30b_decode_int4hu_block32_sym.aimodel/metadata.json
ADDED
|
@@ -0,0 +1,5 @@
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
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"assetVersion" : "2.0",
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| 3 |
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"creationDate" : "20260815T092455Z",
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"producer" : "coreai-core 1.0.0b2"
|
| 5 |
+
}
|
gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/chat_template.jinja
ADDED
|
@@ -0,0 +1,211 @@
|
|
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|
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|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
|
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|
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|
|
|
| 1 |
+
{#
|
| 2 |
+
Template: Muse Glimmer ATEM Chat Template
|
| 3 |
+
Renders the ATEM tool-calling protocol: reasoning channel (to=self), tool
|
| 4 |
+
channels (to=<tool>), and the user channel, plus tool definitions and the
|
| 5 |
+
valid-recipient list in the system block.
|
| 6 |
+
|
| 7 |
+
Whitespace note: every tag uses the {%- -%} / {{- -}} stripping markers, so
|
| 8 |
+
the indentation below is purely for readability and contributes nothing to
|
| 9 |
+
the rendered output.
|
| 10 |
+
#}
|
| 11 |
+
{%- macro render_content(content) -%}
|
| 12 |
+
{%- if content is string -%}
|
| 13 |
+
{{- content -}}
|
| 14 |
+
{%- elif content is not none -%}
|
| 15 |
+
{%- for part in content -%}
|
| 16 |
+
{%- if part['type'] == 'image' -%}
|
| 17 |
+
{{- '<|patch|>' -}}
|
| 18 |
+
{%- elif part['type'] == 'video' -%}
|
| 19 |
+
{{- '<|video|>' -}}
|
| 20 |
+
{%- elif part['type'] == 'text' -%}
|
| 21 |
+
{{- part['text'] -}}
|
| 22 |
+
{%- endif -%}
|
| 23 |
+
{%- endfor -%}
|
| 24 |
+
{%- endif -%}
|
| 25 |
+
{%- endmacro -%}
|
| 26 |
+
{%- macro render_atem(tc) -%}
|
| 27 |
+
{%- set args = tc.function.arguments -%}
|
| 28 |
+
{%- if args is not mapping -%}
|
| 29 |
+
{{- raise_exception('Muse Glimmer ATEM chat template requires tool_call.function.arguments to be a dict (mapping); a JSON string cannot be parsed in the HF jinja sandbox.') -}}
|
| 30 |
+
{%- endif -%}
|
| 31 |
+
{{- '<atem:function_calls>\n<atem:invoke name="' + tc.function.name + '">\n' -}}
|
| 32 |
+
{%- for k, v in args.items() -%}
|
| 33 |
+
{{- '<atem:parameter name="' + k + '">' -}}
|
| 34 |
+
{%- if v is boolean -%}
|
| 35 |
+
{%- if v -%}
|
| 36 |
+
true
|
| 37 |
+
{%- else -%}
|
| 38 |
+
false
|
| 39 |
+
{%- endif -%}
|
| 40 |
+
{%- elif v is none -%}
|
| 41 |
+
null
|
| 42 |
+
{%- elif v is mapping or (v is iterable and v is not string) -%}
|
| 43 |
+
{{- v | tojson -}}
|
| 44 |
+
{%- else -%}
|
| 45 |
+
{{- v -}}
|
| 46 |
+
{%- endif -%}
|
| 47 |
+
{{- '</atem:parameter>\n' -}}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
{{- '</atem:invoke>\n</atem:function_calls>' -}}
|
| 50 |
+
{%- endmacro -%}
|
| 51 |
+
{%- macro render_tool_defs(tools) -%}
|
| 52 |
+
{{- 'In this environment you have access to a set of tools you can use to answer the user\'s question.\n\n' -}}
|
| 53 |
+
{{- 'You can invoke a function by writing a "<atem:function_calls>" block like the following:\n' -}}
|
| 54 |
+
{{- '<atem:function_calls>\n<atem:invoke name="$FUNCTION_NAME">\n<atem:parameter name="$PARAMETER_NAME">$PARAMETER_VALUE</atem:parameter>\n...\n</atem:invoke>\n</atem:function_calls>\n\n' -}}
|
| 55 |
+
{{- 'String and scalar parameters should be specified as is, while lists and objects should use JSON format. Note that spaces for string values are not stripped. The output is not expected to be valid XML and is parsed with regular expressions.\n' -}}
|
| 56 |
+
{{- 'Here are the functions available in JSONSchema format:\n' -}}
|
| 57 |
+
{{- '// Tool metadata\n' -}}
|
| 58 |
+
{%- set nsns = namespace(seen=[]) -%}
|
| 59 |
+
{%- for tool in tools -%}
|
| 60 |
+
{%- set fn = tool.function if tool.function is defined else tool -%}
|
| 61 |
+
{%- set tns = fn.name.split('.')[0] -%}
|
| 62 |
+
{%- if tns not in nsns.seen -%}
|
| 63 |
+
{%- set nsns.seen = nsns.seen + [tns] -%}
|
| 64 |
+
{%- endif -%}
|
| 65 |
+
{%- endfor -%}
|
| 66 |
+
{%- set nd = tool_namespace_descriptions if tool_namespace_descriptions is defined else {} -%}
|
| 67 |
+
{%- for tns in nsns.seen -%}
|
| 68 |
+
{{- '{"name": ' + (tns | tojson) + ', "description": ' + ((nd[tns] if tns in nd else '') | tojson) + '}\n' -}}
|
| 69 |
+
{%- endfor -%}
|
| 70 |
+
{{- '// Function schemas' -}}
|
| 71 |
+
{%- for tool in tools -%}
|
| 72 |
+
{%- set fn = tool.function if tool.function is defined else tool -%}
|
| 73 |
+
{{- '\n{"name": ' + (fn.name | tojson) + ', "description": ' + (fn.description | tojson) + ', "parameters": ' + (fn.parameters | tojson) + '}' -}}
|
| 74 |
+
{%- endfor -%}
|
| 75 |
+
{{- '\n\nHere\'s an example of how to call a function in the tool set:\n' -}}
|
| 76 |
+
{{- '(If the tool namespace is not specified, invoke the function directly as `example_function_name` rather than `example_tool_name.example_function_name`)\n\n' -}}
|
| 77 |
+
{{- 'to=example_tool_name.example_function_name\n\n' -}}
|
| 78 |
+
{{- '<atem:function_calls>\n<atem:invoke name="example_tool_name.example_function_name">\n' -}}
|
| 79 |
+
{{- '<atem:parameter name="example_parameter_1">value_1</atem:parameter>\n' -}}
|
| 80 |
+
{{- '<atem:parameter name="example_parameter_2">This is the value for the second parameter\nthat can span\n"multiple" lines\n</atem:parameter>\n' -}}
|
| 81 |
+
{{- '</atem:invoke>\n</atem:function_calls>' -}}
|
| 82 |
+
{%- endmacro -%}
|
| 83 |
+
{%- macro render_reasoning() -%}
|
| 84 |
+
{%- set rs = reasoning_strength if reasoning_strength is defined and reasoning_strength else 'high' -%}
|
| 85 |
+
{{- 'Reasoning strength: ' + rs + '.' -}}
|
| 86 |
+
{%- endmacro -%}
|
| 87 |
+
{%- macro render_system_meta(tools) -%}
|
| 88 |
+
{%- set rns = namespace(recipients=['"self"'], nslist=[]) -%}
|
| 89 |
+
{%- if tools -%}
|
| 90 |
+
{%- for tool in tools -%}
|
| 91 |
+
{%- set fn = tool.function if tool.function is defined else tool -%}
|
| 92 |
+
{%- set tns = fn.name.split('.')[0] -%}
|
| 93 |
+
{%- if tns not in rns.nslist -%}
|
| 94 |
+
{%- set rns.nslist = rns.nslist + [tns] -%}
|
| 95 |
+
{%- endif -%}
|
| 96 |
+
{%- endfor -%}
|
| 97 |
+
{%- for tns in rns.nslist -%}
|
| 98 |
+
{%- set rns.recipients = rns.recipients + ['"' + tns + '.*"'] -%}
|
| 99 |
+
{%- endfor -%}
|
| 100 |
+
{%- endif -%}
|
| 101 |
+
{%- set rns.recipients = rns.recipients + ['"user"'] -%}
|
| 102 |
+
{{- '# Valid recipients: ' + rns.recipients | join(', ') + '.' -}}
|
| 103 |
+
{%- endmacro -%}
|
| 104 |
+
{{- bos_token -}}
|
| 105 |
+
{%- set ns = namespace(has_system=false) -%}
|
| 106 |
+
{%- for m in messages -%}
|
| 107 |
+
{%- if m['role'] == 'system' -%}
|
| 108 |
+
{%- set ns.has_system = true -%}
|
| 109 |
+
{%- endif -%}
|
| 110 |
+
{%- endfor -%}
|
| 111 |
+
{%- if not ns.has_system -%}
|
| 112 |
+
{{- '<|start|>system<|message|>You are a helpful AI assistant.' -}}
|
| 113 |
+
{%- set kc = knowledge_cutoff if knowledge_cutoff is defined and knowledge_cutoff else '2026-01-04' -%}
|
| 114 |
+
{{- '\nKnowledge cutoff: ' + kc + '.' -}}
|
| 115 |
+
{%- if current_date is defined and current_date -%}
|
| 116 |
+
{{- '\nCurrent date: ' + current_date + '.' -}}
|
| 117 |
+
{%- elif strftime_now is defined -%}
|
| 118 |
+
{{- '\nCurrent date: ' + strftime_now('%Y-%m-%d') + '.' -}}
|
| 119 |
+
{%- endif -%}
|
| 120 |
+
{{- '\n\n' -}}
|
| 121 |
+
{{- render_reasoning() -}}
|
| 122 |
+
{%- if tools -%}
|
| 123 |
+
{{- '\n\n' -}}
|
| 124 |
+
{{- render_tool_defs(tools) -}}
|
| 125 |
+
{%- endif -%}
|
| 126 |
+
{{- '\n\n' -}}
|
| 127 |
+
{{- render_system_meta(tools) -}}
|
| 128 |
+
{{- '<|eot|>' -}}
|
| 129 |
+
{%- endif -%}
|
| 130 |
+
{%- for message in messages -%}
|
| 131 |
+
{%- set role = message['role'] -%}
|
| 132 |
+
{%- set end_token = '<|eom|>' if (not loop.last and messages[loop.index0 + 1]['role'] == role) else '<|eot|>' -%}
|
| 133 |
+
{%- if role == 'system' -%}
|
| 134 |
+
{#- Callers sometimes write the directive into the system prompt themselves.
|
| 135 |
+
Normalise "Reasoning effort" to "Reasoning strength" (jinja has no
|
| 136 |
+
case-insensitive replace, hence the four realistic casings), then skip
|
| 137 |
+
the kwarg-driven line below if the prompt already carries one. -#}
|
| 138 |
+
{%- set sys_text = render_content(message['content'])
|
| 139 |
+
| replace('Reasoning effort', 'Reasoning strength')
|
| 140 |
+
| replace('Reasoning Effort', 'Reasoning Strength')
|
| 141 |
+
| replace('reasoning effort', 'reasoning strength')
|
| 142 |
+
| replace('REASONING EFFORT', 'REASONING STRENGTH') -%}
|
| 143 |
+
{{- '<|start|>system<|message|>' -}}
|
| 144 |
+
{{- sys_text -}}
|
| 145 |
+
{%- if 'reasoning strength' not in (sys_text | lower) -%}
|
| 146 |
+
{{- '\n\n' -}}
|
| 147 |
+
{{- render_reasoning() -}}
|
| 148 |
+
{%- endif -%}
|
| 149 |
+
{%- if tools -%}
|
| 150 |
+
{{- '\n\n' -}}
|
| 151 |
+
{{- render_tool_defs(tools) -}}
|
| 152 |
+
{%- endif -%}
|
| 153 |
+
{{- '\n\n' -}}
|
| 154 |
+
{{- render_system_meta(tools) -}}
|
| 155 |
+
{{- '<|eot|>' -}}
|
| 156 |
+
{%- elif role == 'user' -%}
|
| 157 |
+
{{- '<|start|>user<|message|>' -}}
|
| 158 |
+
{{- render_content(message['content']) -}}
|
| 159 |
+
{{- '<|eot|>' -}}
|
| 160 |
+
{%- elif role == 'tool' -%}
|
| 161 |
+
{%- set tname = message.get('name') -%}
|
| 162 |
+
{%- if not tname -%}
|
| 163 |
+
{%- set tcid = message.get('tool_call_id') -%}
|
| 164 |
+
{%- set rns = namespace(name=tcid if tcid else '') -%}
|
| 165 |
+
{%- for m in messages -%}
|
| 166 |
+
{%- if m.get('tool_calls') -%}
|
| 167 |
+
{%- for tc in m['tool_calls'] -%}
|
| 168 |
+
{%- if tcid is not none and tc.id is defined and tc.id == tcid -%}
|
| 169 |
+
{%- set rns.name = tc.function.name -%}
|
| 170 |
+
{%- endif -%}
|
| 171 |
+
{%- endfor -%}
|
| 172 |
+
{%- endif -%}
|
| 173 |
+
{%- endfor -%}
|
| 174 |
+
{%- set tname = rns.name -%}
|
| 175 |
+
{%- endif -%}
|
| 176 |
+
{{- '<|start|>tool ' + tname + '<|message|><tool_output name="' + tname + '">\n' -}}
|
| 177 |
+
{{- render_content(message['content']) -}}
|
| 178 |
+
{{- '\n</tool_output><|eot|>' -}}
|
| 179 |
+
{%- elif role == 'assistant' -%}
|
| 180 |
+
{%- if message.get('reasoning_content') -%}
|
| 181 |
+
{{- '<|start|>assistant to=self<|message|>' + message['reasoning_content'] + '<|eom|>' -}}
|
| 182 |
+
{%- endif -%}
|
| 183 |
+
{%- if message.get('tool_calls') -%}
|
| 184 |
+
{%- for tc in message['tool_calls'] -%}
|
| 185 |
+
{{- '<|start|>assistant to=' + tc.function.name + '<|message|>' -}}
|
| 186 |
+
{{- render_atem(tc) -}}
|
| 187 |
+
{%- if loop.last -%}
|
| 188 |
+
{{- end_token -}}
|
| 189 |
+
{%- else -%}
|
| 190 |
+
{{- '<|eom|>' -}}
|
| 191 |
+
{%- endif -%}
|
| 192 |
+
{%- endfor -%}
|
| 193 |
+
{%- else -%}
|
| 194 |
+
{%- set recipient = message.get('recipient') or 'user' -%}
|
| 195 |
+
{%- set end_turn = message.get('end_turn') -%}
|
| 196 |
+
{%- if end_turn is none -%}
|
| 197 |
+
{%- set end_turn = not (recipient and recipient != 'user') -%}
|
| 198 |
+
{%- endif -%}
|
| 199 |
+
{{- '<|start|>assistant' -}}
|
| 200 |
+
{%- if recipient -%}
|
| 201 |
+
{{- ' to=' + recipient -}}
|
| 202 |
+
{%- endif -%}
|
| 203 |
+
{{- '<|message|>' -}}
|
| 204 |
+
{{- render_content(message['content']) -}}
|
| 205 |
+
{{- ('<|eot|>' if end_turn else '<|eom|>') -}}
|
| 206 |
+
{%- endif -%}
|
| 207 |
+
{%- endif -%}
|
| 208 |
+
{%- endfor -%}
|
| 209 |
+
{%- if add_generation_prompt -%}
|
| 210 |
+
{{- '<|start|>assistant' -}}
|
| 211 |
+
{%- endif -%}
|
gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9dbee66967b58f31a7c27f723c3760da3526ccd0427578e8905b0abb0031c4d
|
| 3 |
+
size 28129897
|
gpu-pipelined/muse_glimmer_30b_decode_int4hu_block32_sym/tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,2102 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
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| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|begin_of_text|>",
|
| 4 |
+
"eos_token": "<|end_of_text|>",
|
| 5 |
+
"extra_special_tokens": [
|
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| 1280 |
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| 1282 |
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| 1283 |
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| 1297 |
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| 1298 |
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| 1340 |
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| 1432 |
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| 1434 |
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| 1435 |
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| 1436 |
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| 1437 |
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| 1438 |
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| 1439 |
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| 1440 |
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| 1441 |
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| 1442 |
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| 1443 |
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| 1444 |
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| 1446 |
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| 1447 |
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| 1448 |
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| 1455 |
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| 1457 |
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| 1458 |
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| 1459 |
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| 1460 |
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| 1461 |
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| 1462 |
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| 1463 |
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| 1464 |
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| 1465 |
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| 1466 |
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| 1467 |
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| 1468 |
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| 1469 |
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| 1470 |
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| 1471 |
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| 1472 |
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| 1473 |
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| 1474 |
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| 1475 |
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| 1476 |
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| 1477 |
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| 1478 |
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| 1479 |
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| 1480 |
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| 1481 |
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| 1482 |
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| 1483 |
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| 1484 |
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| 1485 |
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| 1486 |
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| 1487 |
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| 1488 |
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| 1490 |
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| 1491 |
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| 1492 |
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| 1493 |
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| 1494 |
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| 1495 |
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| 1496 |
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| 1497 |
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| 1498 |
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| 1499 |
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| 1500 |
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| 1501 |
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| 1502 |
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| 1503 |
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| 1506 |
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| 1508 |
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| 1510 |
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| 1511 |
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| 1512 |
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| 1513 |
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| 1514 |
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| 1515 |
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| 1516 |
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| 1517 |
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| 1518 |
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| 1519 |
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| 1520 |
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| 1521 |
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| 1522 |
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| 1523 |
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| 1524 |
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| 1525 |
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| 1526 |
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| 1527 |
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| 1528 |
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| 1529 |
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| 1530 |
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| 1531 |
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| 1532 |
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| 1533 |
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| 1534 |
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| 1535 |
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| 1536 |
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| 1537 |
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| 1538 |
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| 1539 |
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| 1540 |
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| 1541 |
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| 1542 |
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| 1543 |
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| 1544 |
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| 1545 |
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| 1546 |
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| 1547 |
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| 1548 |
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| 1549 |
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| 1550 |
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| 1551 |
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| 1552 |
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| 1553 |
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| 1554 |
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| 1555 |
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| 1556 |
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| 1558 |
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| 1559 |
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| 1560 |
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| 1561 |
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| 1562 |
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| 1563 |
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| 1564 |
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| 1565 |
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| 1566 |
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| 1567 |
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| 1568 |
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| 1569 |
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| 1570 |
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| 1571 |
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| 1572 |
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| 1573 |
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| 1574 |
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| 1575 |
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| 1576 |
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| 1577 |
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|
| 1578 |
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|
| 1579 |
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"<|reserved_special_token_1573|>",
|
| 1580 |
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|
| 1581 |
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"<|reserved_special_token_1575|>",
|
| 1582 |
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"<|reserved_special_token_1576|>",
|
| 1583 |
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"<|reserved_special_token_1577|>",
|
| 1584 |
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"<|reserved_special_token_1578|>",
|
| 1585 |
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"<|reserved_special_token_1579|>",
|
| 1586 |
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"<|reserved_special_token_1580|>",
|
| 1587 |
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|
| 1588 |
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|
| 1589 |
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"<|reserved_special_token_1583|>",
|
| 1590 |
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"<|reserved_special_token_1584|>",
|
| 1591 |
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|
| 1592 |
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|
| 1593 |
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"<|reserved_special_token_1587|>",
|
| 1594 |
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"<|reserved_special_token_1588|>",
|
| 1595 |
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"<|reserved_special_token_1589|>",
|
| 1596 |
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"<|reserved_special_token_1590|>",
|
| 1597 |
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|
| 1598 |
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"<|reserved_special_token_1592|>",
|
| 1599 |
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"<|reserved_special_token_1593|>",
|
| 1600 |
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"<|reserved_special_token_1594|>",
|
| 1601 |
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"<|reserved_special_token_1595|>",
|
| 1602 |
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"<|reserved_special_token_1596|>",
|
| 1603 |
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"<|reserved_special_token_1597|>",
|
| 1604 |
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"<|reserved_special_token_1598|>",
|
| 1605 |
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"<|reserved_special_token_1599|>",
|
| 1606 |
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"<|reserved_special_token_1600|>",
|
| 1607 |
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"<|reserved_special_token_1601|>",
|
| 1608 |
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"<|reserved_special_token_1602|>",
|
| 1609 |
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"<|reserved_special_token_1603|>",
|
| 1610 |
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"<|reserved_special_token_1604|>",
|
| 1611 |
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"<|reserved_special_token_1605|>",
|
| 1612 |
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"<|reserved_special_token_1606|>",
|
| 1613 |
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"<|reserved_special_token_1607|>",
|
| 1614 |
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"<|reserved_special_token_1608|>",
|
| 1615 |
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"<|reserved_special_token_1609|>",
|
| 1616 |
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"<|reserved_special_token_1610|>",
|
| 1617 |
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"<|reserved_special_token_1611|>",
|
| 1618 |
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"<|reserved_special_token_1612|>",
|
| 1619 |
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"<|reserved_special_token_1613|>",
|
| 1620 |
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"<|reserved_special_token_1614|>",
|
| 1621 |
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"<|reserved_special_token_1615|>",
|
| 1622 |
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"<|reserved_special_token_1616|>",
|
| 1623 |
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"<|reserved_special_token_1617|>",
|
| 1624 |
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"<|reserved_special_token_1618|>",
|
| 1625 |
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"<|reserved_special_token_1619|>",
|
| 1626 |
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"<|reserved_special_token_1620|>",
|
| 1627 |
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"<|reserved_special_token_1621|>",
|
| 1628 |
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"<|reserved_special_token_1622|>",
|
| 1629 |
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"<|reserved_special_token_1623|>",
|
| 1630 |
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"<|reserved_special_token_1624|>",
|
| 1631 |
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"<|reserved_special_token_1625|>",
|
| 1632 |
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"<|reserved_special_token_1626|>",
|
| 1633 |
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"<|reserved_special_token_1627|>",
|
| 1634 |
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"<|reserved_special_token_1628|>",
|
| 1635 |
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"<|reserved_special_token_1629|>",
|
| 1636 |
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"<|reserved_special_token_1630|>",
|
| 1637 |
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"<|reserved_special_token_1631|>",
|
| 1638 |
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"<|reserved_special_token_1632|>",
|
| 1639 |
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"<|reserved_special_token_1633|>",
|
| 1640 |
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"<|reserved_special_token_1634|>",
|
| 1641 |
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"<|reserved_special_token_1635|>",
|
| 1642 |
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"<|reserved_special_token_1636|>",
|
| 1643 |
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"<|reserved_special_token_1637|>",
|
| 1644 |
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"<|reserved_special_token_1638|>",
|
| 1645 |
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"<|reserved_special_token_1639|>",
|
| 1646 |
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"<|reserved_special_token_1640|>",
|
| 1647 |
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"<|reserved_special_token_1641|>",
|
| 1648 |
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"<|reserved_special_token_1642|>",
|
| 1649 |
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"<|reserved_special_token_1643|>",
|
| 1650 |
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"<|reserved_special_token_1644|>",
|
| 1651 |
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"<|reserved_special_token_1645|>",
|
| 1652 |
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"<|reserved_special_token_1646|>",
|
| 1653 |
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"<|reserved_special_token_1647|>",
|
| 1654 |
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"<|reserved_special_token_1648|>",
|
| 1655 |
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"<|reserved_special_token_1649|>",
|
| 1656 |
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"<|reserved_special_token_1650|>",
|
| 1657 |
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"<|reserved_special_token_1651|>",
|
| 1658 |
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"<|reserved_special_token_1652|>",
|
| 1659 |
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"<|reserved_special_token_1653|>",
|
| 1660 |
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"<|reserved_special_token_1654|>",
|
| 1661 |
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"<|reserved_special_token_1655|>",
|
| 1662 |
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"<|reserved_special_token_1656|>",
|
| 1663 |
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"<|reserved_special_token_1657|>",
|
| 1664 |
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"<|reserved_special_token_1658|>",
|
| 1665 |
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"<|reserved_special_token_1659|>",
|
| 1666 |
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"<|reserved_special_token_1660|>",
|
| 1667 |
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"<|reserved_special_token_1661|>",
|
| 1668 |
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"<|reserved_special_token_1662|>",
|
| 1669 |
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"<|reserved_special_token_1663|>",
|
| 1670 |
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"<|reserved_special_token_1664|>",
|
| 1671 |
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"<|reserved_special_token_1665|>",
|
| 1672 |
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"<|reserved_special_token_1666|>",
|
| 1673 |
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|
| 1674 |
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"<|reserved_special_token_1668|>",
|
| 1675 |
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|
| 1676 |
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|
| 1677 |
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|
| 1678 |
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|
| 1679 |
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|
| 1680 |
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"<|reserved_special_token_1674|>",
|
| 1681 |
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|
| 1682 |
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|
| 1683 |
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|
| 1684 |
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|
| 1685 |
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|
| 1686 |
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|
| 1687 |
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|
| 1688 |
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|
| 1689 |
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|
| 1690 |
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|
| 1691 |
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|
| 1692 |
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"<|reserved_special_token_1686|>",
|
| 1693 |
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"<|reserved_special_token_1687|>",
|
| 1694 |
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|
| 1695 |
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|
| 1696 |
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|
| 1697 |
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|
| 1698 |
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|
| 1699 |
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|
| 1700 |
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|
| 1701 |
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|
| 1702 |
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|
| 1703 |
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"<|reserved_special_token_1697|>",
|
| 1704 |
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"<|reserved_special_token_1698|>",
|
| 1705 |
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"<|reserved_special_token_1699|>",
|
| 1706 |
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"<|reserved_special_token_1700|>",
|
| 1707 |
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"<|reserved_special_token_1701|>",
|
| 1708 |
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"<|reserved_special_token_1702|>",
|
| 1709 |
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"<|reserved_special_token_1703|>",
|
| 1710 |
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"<|reserved_special_token_1704|>",
|
| 1711 |
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"<|reserved_special_token_1705|>",
|
| 1712 |
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"<|reserved_special_token_1706|>",
|
| 1713 |
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"<|reserved_special_token_1707|>",
|
| 1714 |
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"<|reserved_special_token_1708|>",
|
| 1715 |
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"<|reserved_special_token_1709|>",
|
| 1716 |
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"<|reserved_special_token_1710|>",
|
| 1717 |
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"<|reserved_special_token_1711|>",
|
| 1718 |
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"<|reserved_special_token_1712|>",
|
| 1719 |
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"<|reserved_special_token_1713|>",
|
| 1720 |
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"<|reserved_special_token_1714|>",
|
| 1721 |
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"<|reserved_special_token_1715|>",
|
| 1722 |
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"<|reserved_special_token_1716|>",
|
| 1723 |
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"<|reserved_special_token_1717|>",
|
| 1724 |
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"<|reserved_special_token_1718|>",
|
| 1725 |
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"<|reserved_special_token_1719|>",
|
| 1726 |
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"<|reserved_special_token_1720|>",
|
| 1727 |
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"<|reserved_special_token_1721|>",
|
| 1728 |
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"<|reserved_special_token_1722|>",
|
| 1729 |
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"<|reserved_special_token_1723|>",
|
| 1730 |
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"<|reserved_special_token_1724|>",
|
| 1731 |
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"<|reserved_special_token_1725|>",
|
| 1732 |
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"<|reserved_special_token_1726|>",
|
| 1733 |
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"<|reserved_special_token_1727|>",
|
| 1734 |
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"<|reserved_special_token_1728|>",
|
| 1735 |
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"<|reserved_special_token_1729|>",
|
| 1736 |
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"<|reserved_special_token_1730|>",
|
| 1737 |
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"<|reserved_special_token_1731|>",
|
| 1738 |
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"<|reserved_special_token_1732|>",
|
| 1739 |
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"<|reserved_special_token_1733|>",
|
| 1740 |
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"<|reserved_special_token_1734|>",
|
| 1741 |
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"<|reserved_special_token_1735|>",
|
| 1742 |
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"<|reserved_special_token_1736|>",
|
| 1743 |
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"<|reserved_special_token_1737|>",
|
| 1744 |
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"<|reserved_special_token_1738|>",
|
| 1745 |
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"<|reserved_special_token_1739|>",
|
| 1746 |
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"<|reserved_special_token_1740|>",
|
| 1747 |
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"<|reserved_special_token_1741|>",
|
| 1748 |
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"<|reserved_special_token_1742|>",
|
| 1749 |
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"<|reserved_special_token_1743|>",
|
| 1750 |
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"<|reserved_special_token_1744|>",
|
| 1751 |
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"<|reserved_special_token_1745|>",
|
| 1752 |
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"<|reserved_special_token_1746|>",
|
| 1753 |
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"<|reserved_special_token_1747|>",
|
| 1754 |
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"<|reserved_special_token_1748|>",
|
| 1755 |
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"<|reserved_special_token_1749|>",
|
| 1756 |
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"<|reserved_special_token_1750|>",
|
| 1757 |
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"<|reserved_special_token_1751|>",
|
| 1758 |
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"<|reserved_special_token_1752|>",
|
| 1759 |
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"<|reserved_special_token_1753|>",
|
| 1760 |
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"<|reserved_special_token_1754|>",
|
| 1761 |
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"<|reserved_special_token_1755|>",
|
| 1762 |
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"<|reserved_special_token_1756|>",
|
| 1763 |
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"<|reserved_special_token_1757|>",
|
| 1764 |
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"<|reserved_special_token_1758|>",
|
| 1765 |
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"<|reserved_special_token_1759|>",
|
| 1766 |
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"<|reserved_special_token_1760|>",
|
| 1767 |
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"<|reserved_special_token_1761|>",
|
| 1768 |
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"<|reserved_special_token_1762|>",
|
| 1769 |
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"<|reserved_special_token_1763|>",
|
| 1770 |
+
"<|reserved_special_token_1764|>",
|
| 1771 |
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"<|reserved_special_token_1765|>",
|
| 1772 |
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"<|reserved_special_token_1766|>",
|
| 1773 |
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"<|reserved_special_token_1767|>",
|
| 1774 |
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"<|reserved_special_token_1768|>",
|
| 1775 |
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"<|reserved_special_token_1769|>",
|
| 1776 |
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"<|reserved_special_token_1770|>",
|
| 1777 |
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"<|reserved_special_token_1771|>",
|
| 1778 |
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"<|reserved_special_token_1772|>",
|
| 1779 |
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"<|reserved_special_token_1773|>",
|
| 1780 |
+
"<|reserved_special_token_1774|>",
|
| 1781 |
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"<|reserved_special_token_1775|>",
|
| 1782 |
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"<|reserved_special_token_1776|>",
|
| 1783 |
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"<|reserved_special_token_1777|>",
|
| 1784 |
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"<|reserved_special_token_1778|>",
|
| 1785 |
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"<|reserved_special_token_1779|>",
|
| 1786 |
+
"<|reserved_special_token_1780|>",
|
| 1787 |
+
"<|reserved_special_token_1781|>",
|
| 1788 |
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"<|reserved_special_token_1782|>",
|
| 1789 |
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"<|reserved_special_token_1783|>",
|
| 1790 |
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"<|reserved_special_token_1784|>",
|
| 1791 |
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"<|reserved_special_token_1785|>",
|
| 1792 |
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"<|reserved_special_token_1786|>",
|
| 1793 |
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"<|reserved_special_token_1787|>",
|
| 1794 |
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"<|reserved_special_token_1788|>",
|
| 1795 |
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"<|reserved_special_token_1789|>",
|
| 1796 |
+
"<|reserved_special_token_1790|>",
|
| 1797 |
+
"<|reserved_special_token_1791|>",
|
| 1798 |
+
"<|reserved_special_token_1792|>",
|
| 1799 |
+
"<|reserved_special_token_1793|>",
|
| 1800 |
+
"<|reserved_special_token_1794|>",
|
| 1801 |
+
"<|reserved_special_token_1795|>",
|
| 1802 |
+
"<|reserved_special_token_1796|>",
|
| 1803 |
+
"<|reserved_special_token_1797|>",
|
| 1804 |
+
"<|reserved_special_token_1798|>",
|
| 1805 |
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"<|reserved_special_token_1799|>",
|
| 1806 |
+
"<|reserved_special_token_1800|>",
|
| 1807 |
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"<|reserved_special_token_1801|>",
|
| 1808 |
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"<|reserved_special_token_1802|>",
|
| 1809 |
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"<|reserved_special_token_1803|>",
|
| 1810 |
+
"<|reserved_special_token_1804|>",
|
| 1811 |
+
"<|reserved_special_token_1805|>",
|
| 1812 |
+
"<|reserved_special_token_1806|>",
|
| 1813 |
+
"<|reserved_special_token_1807|>",
|
| 1814 |
+
"<|reserved_special_token_1808|>",
|
| 1815 |
+
"<|reserved_special_token_1809|>",
|
| 1816 |
+
"<|reserved_special_token_1810|>",
|
| 1817 |
+
"<|reserved_special_token_1811|>",
|
| 1818 |
+
"<|reserved_special_token_1812|>",
|
| 1819 |
+
"<|reserved_special_token_1813|>",
|
| 1820 |
+
"<|reserved_special_token_1814|>",
|
| 1821 |
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"<|reserved_special_token_1815|>",
|
| 1822 |
+
"<|reserved_special_token_1816|>",
|
| 1823 |
+
"<|reserved_special_token_1817|>",
|
| 1824 |
+
"<|reserved_special_token_1818|>",
|
| 1825 |
+
"<|reserved_special_token_1819|>",
|
| 1826 |
+
"<|reserved_special_token_1820|>",
|
| 1827 |
+
"<|reserved_special_token_1821|>",
|
| 1828 |
+
"<|reserved_special_token_1822|>",
|
| 1829 |
+
"<|reserved_special_token_1823|>",
|
| 1830 |
+
"<|reserved_special_token_1824|>",
|
| 1831 |
+
"<|reserved_special_token_1825|>",
|
| 1832 |
+
"<|reserved_special_token_1826|>",
|
| 1833 |
+
"<|reserved_special_token_1827|>",
|
| 1834 |
+
"<|reserved_special_token_1828|>",
|
| 1835 |
+
"<|reserved_special_token_1829|>",
|
| 1836 |
+
"<|reserved_special_token_1830|>",
|
| 1837 |
+
"<|reserved_special_token_1831|>",
|
| 1838 |
+
"<|reserved_special_token_1832|>",
|
| 1839 |
+
"<|reserved_special_token_1833|>",
|
| 1840 |
+
"<|reserved_special_token_1834|>",
|
| 1841 |
+
"<|reserved_special_token_1835|>",
|
| 1842 |
+
"<|reserved_special_token_1836|>",
|
| 1843 |
+
"<|reserved_special_token_1837|>",
|
| 1844 |
+
"<|reserved_special_token_1838|>",
|
| 1845 |
+
"<|reserved_special_token_1839|>",
|
| 1846 |
+
"<|reserved_special_token_1840|>",
|
| 1847 |
+
"<|reserved_special_token_1841|>",
|
| 1848 |
+
"<|reserved_special_token_1842|>",
|
| 1849 |
+
"<|reserved_special_token_1843|>",
|
| 1850 |
+
"<|reserved_special_token_1844|>",
|
| 1851 |
+
"<|reserved_special_token_1845|>",
|
| 1852 |
+
"<|reserved_special_token_1846|>",
|
| 1853 |
+
"<|reserved_special_token_1847|>",
|
| 1854 |
+
"<|reserved_special_token_1848|>",
|
| 1855 |
+
"<|reserved_special_token_1849|>",
|
| 1856 |
+
"<|reserved_special_token_1850|>",
|
| 1857 |
+
"<|reserved_special_token_1851|>",
|
| 1858 |
+
"<|reserved_special_token_1852|>",
|
| 1859 |
+
"<|reserved_special_token_1853|>",
|
| 1860 |
+
"<|reserved_special_token_1854|>",
|
| 1861 |
+
"<|reserved_special_token_1855|>",
|
| 1862 |
+
"<|reserved_special_token_1856|>",
|
| 1863 |
+
"<|reserved_special_token_1857|>",
|
| 1864 |
+
"<|reserved_special_token_1858|>",
|
| 1865 |
+
"<|reserved_special_token_1859|>",
|
| 1866 |
+
"<|reserved_special_token_1860|>",
|
| 1867 |
+
"<|reserved_special_token_1861|>",
|
| 1868 |
+
"<|reserved_special_token_1862|>",
|
| 1869 |
+
"<|reserved_special_token_1863|>",
|
| 1870 |
+
"<|reserved_special_token_1864|>",
|
| 1871 |
+
"<|reserved_special_token_1865|>",
|
| 1872 |
+
"<|reserved_special_token_1866|>",
|
| 1873 |
+
"<|reserved_special_token_1867|>",
|
| 1874 |
+
"<|reserved_special_token_1868|>",
|
| 1875 |
+
"<|reserved_special_token_1869|>",
|
| 1876 |
+
"<|reserved_special_token_1870|>",
|
| 1877 |
+
"<|reserved_special_token_1871|>",
|
| 1878 |
+
"<|reserved_special_token_1872|>",
|
| 1879 |
+
"<|reserved_special_token_1873|>",
|
| 1880 |
+
"<|reserved_special_token_1874|>",
|
| 1881 |
+
"<|reserved_special_token_1875|>",
|
| 1882 |
+
"<|reserved_special_token_1876|>",
|
| 1883 |
+
"<|reserved_special_token_1877|>",
|
| 1884 |
+
"<|reserved_special_token_1878|>",
|
| 1885 |
+
"<|reserved_special_token_1879|>",
|
| 1886 |
+
"<|reserved_special_token_1880|>",
|
| 1887 |
+
"<|reserved_special_token_1881|>",
|
| 1888 |
+
"<|reserved_special_token_1882|>",
|
| 1889 |
+
"<|reserved_special_token_1883|>",
|
| 1890 |
+
"<|reserved_special_token_1884|>",
|
| 1891 |
+
"<|reserved_special_token_1885|>",
|
| 1892 |
+
"<|reserved_special_token_1886|>",
|
| 1893 |
+
"<|reserved_special_token_1887|>",
|
| 1894 |
+
"<|reserved_special_token_1888|>",
|
| 1895 |
+
"<|reserved_special_token_1889|>",
|
| 1896 |
+
"<|reserved_special_token_1890|>",
|
| 1897 |
+
"<|reserved_special_token_1891|>",
|
| 1898 |
+
"<|reserved_special_token_1892|>",
|
| 1899 |
+
"<|reserved_special_token_1893|>",
|
| 1900 |
+
"<|reserved_special_token_1894|>",
|
| 1901 |
+
"<|reserved_special_token_1895|>",
|
| 1902 |
+
"<|reserved_special_token_1896|>",
|
| 1903 |
+
"<|reserved_special_token_1897|>",
|
| 1904 |
+
"<|reserved_special_token_1898|>",
|
| 1905 |
+
"<|reserved_special_token_1899|>",
|
| 1906 |
+
"<|reserved_special_token_1900|>",
|
| 1907 |
+
"<|reserved_special_token_1901|>",
|
| 1908 |
+
"<|reserved_special_token_1902|>",
|
| 1909 |
+
"<|reserved_special_token_1903|>",
|
| 1910 |
+
"<|reserved_special_token_1904|>",
|
| 1911 |
+
"<|reserved_special_token_1905|>",
|
| 1912 |
+
"<|reserved_special_token_1906|>",
|
| 1913 |
+
"<|reserved_special_token_1907|>",
|
| 1914 |
+
"<|reserved_special_token_1908|>",
|
| 1915 |
+
"<|reserved_special_token_1909|>",
|
| 1916 |
+
"<|reserved_special_token_1910|>",
|
| 1917 |
+
"<|reserved_special_token_1911|>",
|
| 1918 |
+
"<|reserved_special_token_1912|>",
|
| 1919 |
+
"<|reserved_special_token_1913|>",
|
| 1920 |
+
"<|reserved_special_token_1914|>",
|
| 1921 |
+
"<|reserved_special_token_1915|>",
|
| 1922 |
+
"<|reserved_special_token_1916|>",
|
| 1923 |
+
"<|reserved_special_token_1917|>",
|
| 1924 |
+
"<|reserved_special_token_1918|>",
|
| 1925 |
+
"<|reserved_special_token_1919|>",
|
| 1926 |
+
"<|reserved_special_token_1920|>",
|
| 1927 |
+
"<|reserved_special_token_1921|>",
|
| 1928 |
+
"<|reserved_special_token_1922|>",
|
| 1929 |
+
"<|reserved_special_token_1923|>",
|
| 1930 |
+
"<|reserved_special_token_1924|>",
|
| 1931 |
+
"<|reserved_special_token_1925|>",
|
| 1932 |
+
"<|reserved_special_token_1926|>",
|
| 1933 |
+
"<|reserved_special_token_1927|>",
|
| 1934 |
+
"<|reserved_special_token_1928|>",
|
| 1935 |
+
"<|reserved_special_token_1929|>",
|
| 1936 |
+
"<|reserved_special_token_1930|>",
|
| 1937 |
+
"<|reserved_special_token_1931|>",
|
| 1938 |
+
"<|reserved_special_token_1932|>",
|
| 1939 |
+
"<|reserved_special_token_1933|>",
|
| 1940 |
+
"<|reserved_special_token_1934|>",
|
| 1941 |
+
"<|reserved_special_token_1935|>",
|
| 1942 |
+
"<|reserved_special_token_1936|>",
|
| 1943 |
+
"<|reserved_special_token_1937|>",
|
| 1944 |
+
"<|reserved_special_token_1938|>",
|
| 1945 |
+
"<|reserved_special_token_1939|>",
|
| 1946 |
+
"<|reserved_special_token_1940|>",
|
| 1947 |
+
"<|reserved_special_token_1941|>",
|
| 1948 |
+
"<|reserved_special_token_1942|>",
|
| 1949 |
+
"<|reserved_special_token_1943|>",
|
| 1950 |
+
"<|reserved_special_token_1944|>",
|
| 1951 |
+
"<|reserved_special_token_1945|>",
|
| 1952 |
+
"<|reserved_special_token_1946|>",
|
| 1953 |
+
"<|reserved_special_token_1947|>",
|
| 1954 |
+
"<|reserved_special_token_1948|>",
|
| 1955 |
+
"<|reserved_special_token_1949|>",
|
| 1956 |
+
"<|reserved_special_token_1950|>",
|
| 1957 |
+
"<|reserved_special_token_1951|>",
|
| 1958 |
+
"<|reserved_special_token_1952|>",
|
| 1959 |
+
"<|reserved_special_token_1953|>",
|
| 1960 |
+
"<|reserved_special_token_1954|>",
|
| 1961 |
+
"<|reserved_special_token_1955|>",
|
| 1962 |
+
"<|reserved_special_token_1956|>",
|
| 1963 |
+
"<|reserved_special_token_1957|>",
|
| 1964 |
+
"<|reserved_special_token_1958|>",
|
| 1965 |
+
"<|reserved_special_token_1959|>",
|
| 1966 |
+
"<|reserved_special_token_1960|>",
|
| 1967 |
+
"<|reserved_special_token_1961|>",
|
| 1968 |
+
"<|reserved_special_token_1962|>",
|
| 1969 |
+
"<|reserved_special_token_1963|>",
|
| 1970 |
+
"<|reserved_special_token_1964|>",
|
| 1971 |
+
"<|reserved_special_token_1965|>",
|
| 1972 |
+
"<|reserved_special_token_1966|>",
|
| 1973 |
+
"<|reserved_special_token_1967|>",
|
| 1974 |
+
"<|reserved_special_token_1968|>",
|
| 1975 |
+
"<|reserved_special_token_1969|>",
|
| 1976 |
+
"<|reserved_special_token_1970|>",
|
| 1977 |
+
"<|reserved_special_token_1971|>",
|
| 1978 |
+
"<|reserved_special_token_1972|>",
|
| 1979 |
+
"<|reserved_special_token_1973|>",
|
| 1980 |
+
"<|reserved_special_token_1974|>",
|
| 1981 |
+
"<|reserved_special_token_1975|>",
|
| 1982 |
+
"<|reserved_special_token_1976|>",
|
| 1983 |
+
"<|reserved_special_token_1977|>",
|
| 1984 |
+
"<|reserved_special_token_1978|>",
|
| 1985 |
+
"<|reserved_special_token_1979|>",
|
| 1986 |
+
"<|reserved_special_token_1980|>",
|
| 1987 |
+
"<|reserved_special_token_1981|>",
|
| 1988 |
+
"<|reserved_special_token_1982|>",
|
| 1989 |
+
"<|reserved_special_token_1983|>",
|
| 1990 |
+
"<|reserved_special_token_1984|>",
|
| 1991 |
+
"<|reserved_special_token_1985|>",
|
| 1992 |
+
"<|reserved_special_token_1986|>",
|
| 1993 |
+
"<|reserved_special_token_1987|>",
|
| 1994 |
+
"<|reserved_special_token_1988|>",
|
| 1995 |
+
"<|reserved_special_token_1989|>",
|
| 1996 |
+
"<|reserved_special_token_1990|>",
|
| 1997 |
+
"<|reserved_special_token_1991|>",
|
| 1998 |
+
"<|reserved_special_token_1992|>",
|
| 1999 |
+
"<|reserved_special_token_1993|>",
|
| 2000 |
+
"<|reserved_special_token_1994|>",
|
| 2001 |
+
"<|reserved_special_token_1995|>",
|
| 2002 |
+
"<|reserved_special_token_1996|>",
|
| 2003 |
+
"<|reserved_special_token_1997|>",
|
| 2004 |
+
"<|reserved_special_token_1998|>",
|
| 2005 |
+
"<|reserved_special_token_1999|>",
|
| 2006 |
+
"<|reserved_special_token_2000|>",
|
| 2007 |
+
"<|reserved_special_token_2001|>",
|
| 2008 |
+
"<|reserved_special_token_2002|>",
|
| 2009 |
+
"<|reserved_special_token_2003|>",
|
| 2010 |
+
"<|reserved_special_token_2004|>",
|
| 2011 |
+
"<|reserved_special_token_2005|>",
|
| 2012 |
+
"<|reserved_special_token_2006|>",
|
| 2013 |
+
"<|reserved_special_token_2007|>",
|
| 2014 |
+
"<|reserved_special_token_2008|>",
|
| 2015 |
+
"<|reserved_special_token_2009|>",
|
| 2016 |
+
"<|reserved_special_token_2010|>",
|
| 2017 |
+
"<|reserved_special_token_2011|>",
|
| 2018 |
+
"<|reserved_special_token_2012|>",
|
| 2019 |
+
"<|reserved_special_token_2013|>",
|
| 2020 |
+
"<|reserved_special_token_2014|>",
|
| 2021 |
+
"<|reserved_special_token_2015|>",
|
| 2022 |
+
"<|reserved_special_token_2016|>",
|
| 2023 |
+
"<|reserved_special_token_2017|>",
|
| 2024 |
+
"<|reserved_special_token_2018|>",
|
| 2025 |
+
"<|reserved_special_token_2019|>",
|
| 2026 |
+
"<|reserved_special_token_2020|>",
|
| 2027 |
+
"<|reserved_special_token_2021|>",
|
| 2028 |
+
"<|reserved_special_token_2022|>",
|
| 2029 |
+
"<|reserved_special_token_2023|>",
|
| 2030 |
+
"<|reserved_special_token_2024|>",
|
| 2031 |
+
"<|reserved_special_token_2025|>",
|
| 2032 |
+
"<|reserved_special_token_2026|>",
|
| 2033 |
+
"<|reserved_special_token_2027|>",
|
| 2034 |
+
"<|reserved_special_token_2028|>",
|
| 2035 |
+
"<|reserved_special_token_2029|>",
|
| 2036 |
+
"<|reserved_special_token_2030|>",
|
| 2037 |
+
"<|reserved_special_token_2031|>",
|
| 2038 |
+
"<|reserved_special_token_2032|>",
|
| 2039 |
+
"<|reserved_special_token_2033|>",
|
| 2040 |
+
"<|reserved_special_token_2034|>",
|
| 2041 |
+
"<|reserved_special_token_2035|>",
|
| 2042 |
+
"<|reserved_special_token_2036|>",
|
| 2043 |
+
"<|reserved_special_token_2037|>",
|
| 2044 |
+
"<|reserved_special_token_2038|>",
|
| 2045 |
+
"<|reserved_special_token_2039|>",
|
| 2046 |
+
"<|reserved_special_token_2040|>",
|
| 2047 |
+
"<|reserved_special_token_2041|>",
|
| 2048 |
+
"<|reserved_special_token_2042|>",
|
| 2049 |
+
"<|reserved_special_token_2043|>",
|
| 2050 |
+
"<|reserved_special_token_2044|>",
|
| 2051 |
+
"<|reserved_special_token_2045|>",
|
| 2052 |
+
"<|reserved_special_token_2046|>",
|
| 2053 |
+
"<|reserved_special_token_2047|>"
|
| 2054 |
+
],
|
| 2055 |
+
"model_max_length": 131072,
|
| 2056 |
+
"pad_token": "<|finetune_right_pad|>",
|
| 2057 |
+
"processor_class": "MuseGlimmerProcessor",
|
| 2058 |
+
"response_template": {
|
| 2059 |
+
"defaults": {
|
| 2060 |
+
"role": "assistant"
|
| 2061 |
+
},
|
| 2062 |
+
"fields": {
|
| 2063 |
+
"content": {
|
| 2064 |
+
"close": [
|
| 2065 |
+
"<|eot|>",
|
| 2066 |
+
"<|eom|>"
|
| 2067 |
+
],
|
| 2068 |
+
"content": "text",
|
| 2069 |
+
"open_pattern": "to=user<\\|message\\|>"
|
| 2070 |
+
},
|
| 2071 |
+
"reasoning_content": {
|
| 2072 |
+
"close": "<|eom|>",
|
| 2073 |
+
"content": "text",
|
| 2074 |
+
"open_pattern": "to=self<\\|message\\|>"
|
| 2075 |
+
},
|
| 2076 |
+
"tool_calls": {
|
| 2077 |
+
"close": "</atem:invoke>",
|
| 2078 |
+
"content": "xml-inline",
|
| 2079 |
+
"content_args": {
|
| 2080 |
+
"tag_pattern": "<atem:parameter\\b[^>]*?\\bname=\"(?P<key>[^\"]+)\"[^>]*?>(?P<value>.*?)</atem:parameter>",
|
| 2081 |
+
"value_parser": {
|
| 2082 |
+
"args": {
|
| 2083 |
+
"allow_non_json": true
|
| 2084 |
+
},
|
| 2085 |
+
"name": "json"
|
| 2086 |
+
}
|
| 2087 |
+
},
|
| 2088 |
+
"open_pattern": "<atem:invoke\\b[^>]*?\\bname=\"(?P<name>[^\"]+)\">",
|
| 2089 |
+
"repeats": true,
|
| 2090 |
+
"transform": {
|
| 2091 |
+
"function": {
|
| 2092 |
+
"arguments": "{content}",
|
| 2093 |
+
"name": "{name}"
|
| 2094 |
+
},
|
| 2095 |
+
"type": "function"
|
| 2096 |
+
}
|
| 2097 |
+
}
|
| 2098 |
+
},
|
| 2099 |
+
"start_anchor": "<|start|>assistant"
|
| 2100 |
+
},
|
| 2101 |
+
"tokenizer_class": "TokenizersBackend"
|
| 2102 |
+
}
|