| { |
| "note": "Hermes-tuned KXL policies for stock llama.cpp targeting Unsloth-style Dynamic XL buckets. These are not a claim of byte-identical Unsloth Dynamic 2.0 quants unless generated by Unsloth tooling.", |
| "bf16_parent": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/bf16/LFM-2.5-8B-1B-hermes-ft-BF16.gguf", |
| "imatrix": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/calibration/hermes_tool_router_imatrix.gguf", |
| "commands": [ |
| { |
| "name": "Q8KXL", |
| "base_quant": "Q8_0", |
| "target_gb": 9.34, |
| "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q8KXL.tensor-types.txt", |
| "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q8KXL.gguf", |
| "command": [ |
| "llama-quantize", |
| "--tensor-type-file", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q8KXL.tensor-types.txt", |
| "--imatrix", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/calibration/hermes_tool_router_imatrix.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/bf16/LFM-2.5-8B-1B-hermes-ft-BF16.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q8KXL.gguf", |
| "Q8_0" |
| ], |
| "policy": { |
| "base": "Q8_0", |
| "target_gb": 9.34, |
| "rules": [ |
| { |
| "match": "token_embd", |
| "type": "F16", |
| "reason": "embedding/tool-token sensitivity" |
| }, |
| { |
| "match": "output", |
| "type": "F16", |
| "reason": "logit head sensitivity" |
| }, |
| { |
| "match": "attn", |
| "type": "Q8_0", |
| "reason": "attention path retained high precision" |
| }, |
| { |
| "match": "gate", |
| "type": "Q8_0", |
| "reason": "router/gate routing sensitivity" |
| }, |
| { |
| "match": "router", |
| "type": "Q8_0", |
| "reason": "router sensitivity" |
| }, |
| { |
| "match": "norm", |
| "type": "F16", |
| "reason": "normalization stability" |
| }, |
| { |
| "match": "ffn", |
| "type": "Q8_0", |
| "reason": "expert/base MLP storage" |
| } |
| ] |
| } |
| }, |
| { |
| "name": "Q6KXL", |
| "base_quant": "Q6_K", |
| "target_gb": 7.74, |
| "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q6KXL.tensor-types.txt", |
| "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q6KXL.gguf", |
| "command": [ |
| "llama-quantize", |
| "--tensor-type-file", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q6KXL.tensor-types.txt", |
| "--imatrix", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/calibration/hermes_tool_router_imatrix.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/bf16/LFM-2.5-8B-1B-hermes-ft-BF16.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q6KXL.gguf", |
| "Q6_K" |
| ], |
| "policy": { |
| "base": "Q6_K", |
| "target_gb": 7.74, |
| "rules": [ |
| { |
| "match": "token_embd", |
| "type": "Q8_0", |
| "reason": "embedding/tool-token sensitivity" |
| }, |
| { |
| "match": "output", |
| "type": "Q8_0", |
| "reason": "logit head sensitivity" |
| }, |
| { |
| "match": "attn_q", |
| "type": "Q8_0", |
| "reason": "tool-token attention sensitivity" |
| }, |
| { |
| "match": "attn_k", |
| "type": "Q8_0", |
| "reason": "tool-token attention sensitivity" |
| }, |
| { |
| "match": "attn_v", |
| "type": "Q8_0", |
| "reason": "tool-token attention sensitivity" |
| }, |
| { |
| "match": "attn_output", |
| "type": "Q8_0", |
| "reason": "attention output sensitivity" |
| }, |
| { |
| "match": "gate", |
| "type": "Q8_0", |
| "reason": "router/gate routing sensitivity" |
| }, |
| { |
| "match": "router", |
| "type": "Q8_0", |
| "reason": "router sensitivity" |
| }, |
| { |
| "match": "norm", |
| "type": "F16", |
| "reason": "normalization stability" |
| }, |
| { |
| "match": "ffn", |
| "type": "Q6_K", |
| "reason": "default expert/base MLP target" |
| } |
| ] |
| } |
| }, |
| { |
| "name": "Q5KXL", |
| "base_quant": "Q5_K_M", |
| "target_gb": 6.39, |
| "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q5KXL.tensor-types.txt", |
| "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q5KXL.gguf", |
| "command": [ |
| "llama-quantize", |
| "--tensor-type-file", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q5KXL.tensor-types.txt", |
| "--imatrix", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/calibration/hermes_tool_router_imatrix.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/bf16/LFM-2.5-8B-1B-hermes-ft-BF16.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q5KXL.gguf", |
| "Q5_K_M" |
| ], |
| "policy": { |
| "base": "Q5_K_M", |
| "target_gb": 6.39, |
| "rules": [ |
| { |
| "match": "token_embd", |
| "type": "Q8_0", |
| "reason": "embedding/tool-token sensitivity" |
| }, |
| { |
| "match": "output", |
| "type": "Q8_0", |
| "reason": "logit head sensitivity" |
| }, |
| { |
| "match": "attn", |
| "type": "Q6_K", |
| "reason": "attention kept above base" |
| }, |
| { |
| "match": "gate", |
| "type": "Q8_0", |
| "reason": "router/gate routing sensitivity" |
| }, |
| { |
| "match": "router", |
| "type": "Q8_0", |
| "reason": "router sensitivity" |
| }, |
| { |
| "match": "norm", |
| "type": "F16", |
| "reason": "normalization stability" |
| }, |
| { |
| "match": "ffn", |
| "type": "Q5_K_M", |
| "reason": "default expert/base MLP target" |
| } |
| ] |
| } |
| }, |
| { |
| "name": "Q4KXL", |
| "base_quant": "Q4_K_M", |
| "target_gb": 5.35, |
| "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q4KXL.tensor-types.txt", |
| "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q4KXL.gguf", |
| "command": [ |
| "llama-quantize", |
| "--tensor-type-file", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/Q4KXL.tensor-types.txt", |
| "--imatrix", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/calibration/hermes_tool_router_imatrix.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/bf16/LFM-2.5-8B-1B-hermes-ft-BF16.gguf", |
| "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-Hermes-Tuned-Q4KXL.gguf", |
| "Q4_K_M" |
| ], |
| "policy": { |
| "base": "Q4_K_M", |
| "target_gb": 5.35, |
| "rules": [ |
| { |
| "match": "token_embd", |
| "type": "Q6_K", |
| "reason": "embedding/tool-token sensitivity" |
| }, |
| { |
| "match": "output", |
| "type": "Q6_K", |
| "reason": "logit head sensitivity" |
| }, |
| { |
| "match": "attn_q", |
| "type": "Q6_K", |
| "reason": "attention query sensitivity" |
| }, |
| { |
| "match": "attn_k", |
| "type": "Q6_K", |
| "reason": "attention key sensitivity" |
| }, |
| { |
| "match": "attn_v", |
| "type": "Q5_K_M", |
| "reason": "attention value above base" |
| }, |
| { |
| "match": "attn_output", |
| "type": "Q5_K_M", |
| "reason": "attention output above base" |
| }, |
| { |
| "match": "gate", |
| "type": "Q8_0", |
| "reason": "router/gate routing sensitivity" |
| }, |
| { |
| "match": "router", |
| "type": "Q8_0", |
| "reason": "router sensitivity" |
| }, |
| { |
| "match": "norm", |
| "type": "F16", |
| "reason": "normalization stability" |
| }, |
| { |
| "match": "ffn", |
| "type": "Q4_K_M", |
| "reason": "default expert/base MLP target" |
| } |
| ] |
| } |
| } |
| ] |
| } |
|
|
