int4: spinquantless routed-only weights, 256K
Browse files- config.json +1 -38
- model-00001-of-00015.safetensors +1 -1
- model-00002-of-00015.safetensors +1 -1
- model-00003-of-00015.safetensors +1 -1
- model-00004-of-00015.safetensors +1 -1
- model-00005-of-00015.safetensors +1 -1
- model-00006-of-00015.safetensors +1 -1
- model-00007-of-00015.safetensors +1 -1
- model-00008-of-00015.safetensors +1 -1
- model-00009-of-00015.safetensors +1 -1
- model-00010-of-00015.safetensors +1 -1
- model-00011-of-00015.safetensors +1 -1
- model-00012-of-00015.safetensors +1 -1
- model-00013-of-00015.safetensors +1 -1
- model-00014-of-00015.safetensors +1 -1
- model-00015-of-00015.safetensors +1 -1
config.json
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"quant_method": "compressed-tensors",
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"quantization_status": "compressed",
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"sparsity_config": {},
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"transform_config": {
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"config_groups": {
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"R1": {
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"apply": [
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{
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"ignore": [],
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"inverse": false,
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"location": "weight_output",
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"targets": [
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"re:.*embed_tokens$",
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"re:.*o_proj$",
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"re:.*down_proj$"
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]
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},
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{
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"ignore": [],
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"inverse": true,
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"location": "weight_input",
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"targets": [
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"re:.*q_proj$",
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"re:.*k_proj$",
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"re:.*v_proj$",
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"re:.*gate_proj$",
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"re:.*up_proj$",
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"re:.*mlp.gate$",
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"re:.*g_proj$",
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"re:.*lm_head$"
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]
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}
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],
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"head_dim": 128,
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"precision": "torch.float64",
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"randomize": false,
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"requires_grad": false,
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"type": "hadamard"
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}
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}
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},
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"version": "0.14.1.dev11+gf2ee47b"
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}
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}
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"quant_method": "compressed-tensors",
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"quantization_status": "compressed",
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"sparsity_config": {},
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"transform_config": {},
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"version": "0.14.1.dev11+gf2ee47b"
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}
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}
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model-00001-of-00015.safetensors
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model-00002-of-00015.safetensors
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model-00003-of-00015.safetensors
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model-00004-of-00015.safetensors
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model-00005-of-00015.safetensors
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model-00006-of-00015.safetensors
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model-00007-of-00015.safetensors
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model-00008-of-00015.safetensors
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model-00009-of-00015.safetensors
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model-00010-of-00015.safetensors
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model-00011-of-00015.safetensors
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model-00012-of-00015.safetensors
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model-00013-of-00015.safetensors
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model-00014-of-00015.safetensors
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model-00015-of-00015.safetensors
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