Image-Text-to-Text
Trellis
NInfer
English
Chinese
code
ninfer-ext
exl3
nvfp4
Mixture of Experts
expert-offload
blackwell
quantization
cuda
text-generation
vision
speculative-decoding
dflash2
gemma4
qat
Instructions to use jabbatheduck/ninfer-ext-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use jabbatheduck/ninfer-ext-models with Trellis:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- NInfer
How to use jabbatheduck/ninfer-ext-models with NInfer:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Rebuild with the indexed draft head and the fork chat template
Browse files
qwen3_8_27b_exl3_3p5bpw.ninfer.conversion.json
CHANGED
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@@ -102,6 +102,10 @@
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"tokenizer_config.json": "resource/text/tokenizer_config.json",
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"chat_template.jinja": "resource/text/chat_template.jinja",
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"generation_config.json": "resource/text/generation_config.json"
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}
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},
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"vision": {
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"target": "text"
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}
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},
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"name":
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"output": "
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"device": "cpu",
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"torch_version": "2.14.0+cpu",
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"cuda_version": null,
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"quantized": {
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"path": "/mnt/storage/tmp/store-35bpw/exl3.safetensors"
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}
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}
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},
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"preparation_seconds": 0.
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"parameters":
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"uses":
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"objects":
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"formats": {
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"exl3_mul1": 262,
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"q4_g64_fp16":
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"bf16": 583,
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"fp32": 96,
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"q6_g64_fp16": 1,
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"q5_g64_fp16": 54,
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"q8_g32_fp16": 2
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},
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"methods": [
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{
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"shape": [
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}
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],
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"artifact_id": "
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"files": [
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{
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"path": "
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"payload_bytes":
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"payload_bytes":
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"seconds":
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}
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"tokenizer_config.json": "resource/text/tokenizer_config.json",
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"chat_template.jinja": "resource/text/chat_template.jinja",
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"generation_config.json": "resource/text/generation_config.json"
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},
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"proposal": {
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"domain": "indexed",
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"rows": 131072
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}
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},
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"vision": {
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"target": "text"
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}
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},
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"name": "qwen3.8-27b",
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"output": "/mnt/storage/tmp/rb-3p5bpw.ninfer",
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"device": "cpu",
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"torch_version": "2.14.0+cpu",
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"cuda_version": null,
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"quantized": {
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"path": "/mnt/storage/tmp/store-35bpw/exl3.safetensors"
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}
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},
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"ranking": "/mnt/storage/Projects/ninfer-ext/tools/freq_corpus/fixtures/ranking/ranking.train.counts.i64"
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},
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"preparation_seconds": 0.9912331649975386,
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"parameters": 1422,
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"uses": 785,
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"objects": 1060,
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"formats": {
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"exl3_mul1": 262,
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"q4_g64_fp16": 55,
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"bf16": 583,
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"fp32": 96,
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"q6_g64_fp16": 1,
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"q5_g64_fp16": 54,
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"q8_g32_fp16": 2,
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"int32": 1
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},
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"methods": [
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{
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"shape": [
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5120
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},
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{
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"object": "weight/001052",
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"parameters": [
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"proposal/head"
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],
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"sources": [
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"rows(/mnt/storage/models/qwen3.8/full:lm_head.weight, 131072 spans, 131072 rows)"
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],
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"method": "grouped_absmax",
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"method_parameters": {},
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"format": "q4_g64_fp16",
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"layout": "row_split_k128_v1",
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"shape": [
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131072,
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5120
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{
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"object": "weight/001053",
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"parameters": [
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"proposal/token_ids"
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],
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"sources": [
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"shortlist(/mnt/storage/Projects/ninfer-ext/tools/freq_corpus/fixtures/ranking/ranking.train.counts.i64)"
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],
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"method": "cast_direct",
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"method_parameters": {},
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"format": "int32",
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"layout": "contiguous_le_v1",
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"shape": [
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131072
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]
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}
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],
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"artifact_id": "6cdfba7635794d12b5f691a0e221ffce",
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"files": [
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{
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"path": "/mnt/storage/tmp/rb-3p5bpw.ninfer",
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"payload_bytes": 15291866624
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}
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],
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"payload_bytes": 15291866624,
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"seconds": 46.222997952005244
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}
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