Text Generation
HERMES
Safetensors
English
qwen3_5
qwen
qwen3-next
agentic
tool-use
MTP
spec-decode
AutoRound
INT4
conversational
4-bit precision
auto-round
Instructions to use wasifb/Carnice_V2_27B_INT4_BF16MTP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- HERMES
How to use wasifb/Carnice_V2_27B_INT4_BF16MTP with HERMES:
# 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
| { | |
| "bits": 4, | |
| "data_type": "int", | |
| "group_size": 128, | |
| "sym": true, | |
| "low_gpu_mem_usage": true, | |
| "autoround_version": "0.13.0", | |
| "block_name_to_quantize": "model.language_model.layers", | |
| "quant_method": "auto-round", | |
| "packing_format": "auto_round:auto_gptq", | |
| "extra_config": { | |
| "model.language_model.layers.0.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.0.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.1.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.1.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.2.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.2.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.4.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.4.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.5.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.5.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.6.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.6.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.8.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.8.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.9.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.9.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.10.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.10.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.12.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.12.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.13.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.13.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.14.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.14.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.16.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.16.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.17.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.17.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.18.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.18.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.20.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.20.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.21.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.21.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.22.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.22.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.24.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.24.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.25.linear_attn.in_proj_b": { | |
| "bits": 16, | |
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| "model.language_model.layers.25.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.26.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.28.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.28.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.29.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.29.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.30.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.30.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.32.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.33.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.33.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.34.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.34.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.36.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.36.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.37.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.37.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.38.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.38.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.40.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.41.linear_attn.in_proj_b": { | |
| "bits": 16, | |
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| "model.language_model.layers.41.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.42.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.42.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.44.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.44.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.45.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.45.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.46.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.46.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.48.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.48.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.49.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.49.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.50.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.50.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.52.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.52.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.53.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.53.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.54.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.54.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.56.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.56.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.57.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.57.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.58.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
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| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.60.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
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| "model.language_model.layers.61.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.61.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.62.linear_attn.in_proj_b": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| }, | |
| "model.language_model.layers.62.linear_attn.in_proj_a": { | |
| "bits": 16, | |
| "data_type": "fp" | |
| } | |
| } | |
| } |