Update iter10 and GGUF release analysis

README.md

@@ -96,7 +96,41 @@ Persistent failures:
 - `list files here from shell` -> non-Hermes `bash(command="ls -la")`.
 - `search this repo for browser_navigate` -> `browser_navigate(...)`.
 
-Conclusion: the adapter loop did not meet the release threshold for colloquial terminal/file routing. These adapters are retained as analysis artifacts only and should not be fused or advertised as the final model behavior. The current practical reliability path remains the structured MLX parser metadata plus the Hermes text-parser safety bridge.
+Conclusion: the broad text-only adapter loop did not meet the release threshold for colloquial terminal/file routing. These adapters are retained as analysis artifacts only and should not be fused or advertised as final model behavior.
+
+## Fixed-Hermes Iter10 Repair
+
+The successful repair was `iter10_balanced_holdout_repair_r32`. The key correction was training from structured chat rows with `assistant.tool_calls`, not from raw assistant text alone. This lets the LFM chat template render canonical pythonic tool-call syntax while `--mask-prompt` trains only assistant completions.
+
+Final MLX fused result with the Hermes parser patch disabled:
+
+| Artifact | Overall | Structured tool calls | No-tool cases | Text-tool leaks |
+|---|---:|---:|---:|---:|
+| `iter10_fused` | 43/43 | 28/28 | 10/10 | 0 |
+
+The fixed-Hermes suite covers browser, terminal, file read/search/write, no-tool hard negatives, and tool-result finalization. The tool surface is the exact Hermes schema exported from the local Hermes checkout; tool names and descriptions were not renamed.
+
+## GGUF + llama.cpp Result
+
+The accepted MLX fused checkpoint was dequantized to a BF16 HF/safetensors source and converted to GGUF with current llama.cpp. During conversion, llama.cpp needed a local LFM2/LFM2MoE converter patch for short-conv tensors:
+
+```python
+if "conv.conv" in name:
+    data_torch = data_torch.squeeze(-1)
+```
+
+Without that patch, `conv.conv.weight` stayed 3D and llama.cpp failed while loading the BF16 GGUF parent. With the patch, the BF16 parent loaded and generated normally.
+
+Four Unsloth-style XL approximation quants were generated from the BF16 parent using stock llama.cpp `--tensor-type-file` overrides plus a Hermes/tool-router imatrix. These are not byte-identical Unsloth Dynamic 2.0 quants; they are behavior- and size-targeted approximations.
+
+| GGUF artifact | Size | llama.cpp 64K fixed-Hermes eval |
+|---|---:|---:|
+| `Q8_K_XL_APPROX` | 8.6G | 43/43 |
+| `Q6_K_XL_APPROX` | 7.1G | 43/43 |
+| `Q5_K_XL_APPROX` | 6.5G | 43/43 |
+| `Q4_K_XL_APPROX` | 5.7G | 43/43 |
+
+Each llama.cpp eval returned structured OpenAI-compatible `message.tool_calls` with `finish_reason: "tool_calls"` for all 28 tool-call cases, and produced no false-positive tool calls on the 10 no-tool cases.
 
 ## Repository Contents
 
@@ -108,12 +142,13 @@ Conclusion: the adapter loop did not meet the release threshold for colloquial t
 - `repair_datasets/iter02_colloquial_router/`: colloquial tool-router text dataset.
 - `repair_datasets/iter03_colloquial_router_server_template/`: server-shaped text dataset.
 - `repair_datasets/iter04_colloquial_router_chat_masked/`: chat JSONL dataset for prompt-masked LoRA.
+- `gguf/`: XL quant tensor policies and GGUF export plan.
 - `reports/`: earlier probes and grouped MoE training reports.
 - `release_summary.json`: short machine-readable release summary.
 
 ## Known Limits
 
-- The eval suite is intentionally small and targeted. Passing it means the release gate was met; it does not prove broad agent reliability.
+- The eval suite is targeted. Passing it means the release gate was met; it does not prove broad agent reliability outside similar Hermes tool surfaces.
 - The grouped direct-weight stage updated MoE experts and routers, not every model weight simultaneously.
 - The 6-bit release uses MLX whole-checkpoint quantization because stock MLX conversion does not currently expose the exact expert-only mixed quant policy used in the experimental runtime.
-- The Hermes parser patch remains useful for production reliability when a runtime returns valid tool calls as text rather than structured OpenAI `tool_calls`.
+- The Hermes parser patch remains useful as a safety net for runtimes that return valid LFM native tool calls as text rather than structured OpenAI `tool_calls`.

evals/gguf_Q5_K_XL_APPROX_llamacpp_all_fixed_hermes.json

@@ -0,0 +1,1358 @@
+{
+  "endpoint": "http://127.0.0.1:8091/v1/chat/completions",
+  "model": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/quants/LFM-2.5-8B-1B-hermes-ft-Q5_K_XL_APPROX.gguf",
+  "adapter_path": null,
+  "tools_source": {
+    "hermes_repo": "/Users/jkooker/Documents/Codex/2026-05-28/get-this-new-model-up-and/release_work/hermes-agent-lfm-tool-parser",
+    "git_commit": "a68761f5d13a1ec43f09fa605c2f33576ea8899f",
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+    "browser_snapshot",
+    "browser_type",
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+    "search_files",
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+    "write_file"
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+    "total": 43,
+    "overall_rate": 1.0,
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evals/gguf_Q6_K_XL_APPROX_llamacpp_all_fixed_hermes.json

@@ -0,0 +1,1358 @@
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evals/gguf_Q8_K_XL_APPROX_llamacpp_all_fixed_hermes.json

@@ -0,0 +1,1358 @@
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evals/iter10_fused_all_fixed_hermes_parser_disabled.json

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+      "category": "finalization",
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+}

gguf/UD-Q4_K_XL_APPROX.tensor-types.txt

@@ -0,0 +1,10 @@
+token_embd=q6_k
+output=q6_k
+attn_q=q6_k
+attn_k=q6_k
+attn_v=q5_k
+attn_output=q5_k
+gate=q8_0
+router=q8_0
+norm=f16
+ffn=q4_k

gguf/UD-Q5_K_XL_APPROX.tensor-types.txt

@@ -0,0 +1,7 @@
+token_embd=q8_0
+output=q8_0
+attn=q6_k
+gate=q8_0
+router=q8_0
+norm=f16
+ffn=q5_k

gguf/UD-Q6_K_XL_APPROX.tensor-types.txt

@@ -0,0 +1,10 @@
+token_embd=q8_0
+output=q8_0
+attn_q=q8_0
+attn_k=q8_0
+attn_v=q8_0
+attn_output=q8_0
+gate=q8_0
+router=q8_0
+norm=f16
+ffn=q6_k

gguf/UD-Q8_K_XL_APPROX.tensor-types.txt

@@ -0,0 +1,7 @@
+token_embd=f16
+output=f16
+attn=q8_0
+gate=q8_0
+router=q8_0
+norm=f16
+ffn=q8_0

gguf/xl_quant_plan.json

@@ -0,0 +1,269 @@
+{
+  "note": "Approximate Unsloth Dynamic XL policies for stock llama.cpp. These are not byte-identical Unsloth Dynamic 2.0 quants.",
+  "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": "UD-Q8_K_XL_APPROX",
+      "base_quant": "Q8_0",
+      "target_gb": 9.34,
+      "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q8_K_XL_APPROX.tensor-types.txt",
+      "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-hermes-ft-Q8_K_XL_approx.gguf",
+      "command": [
+        "llama-quantize",
+        "--tensor-type-file",
+        "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q8_K_XL_APPROX.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-ft-Q8_K_XL_approx.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": "UD-Q6_K_XL_APPROX",
+      "base_quant": "Q6_K",
+      "target_gb": 7.74,
+      "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q6_K_XL_APPROX.tensor-types.txt",
+      "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-hermes-ft-Q6_K_XL_approx.gguf",
+      "command": [
+        "llama-quantize",
+        "--tensor-type-file",
+        "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q6_K_XL_APPROX.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-ft-Q6_K_XL_approx.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": "UD-Q5_K_XL_APPROX",
+      "base_quant": "Q5_K_M",
+      "target_gb": 6.39,
+      "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q5_K_XL_APPROX.tensor-types.txt",
+      "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-hermes-ft-Q5_K_XL_approx.gguf",
+      "command": [
+        "llama-quantize",
+        "--tensor-type-file",
+        "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q5_K_XL_APPROX.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-ft-Q5_K_XL_approx.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": "UD-Q4_K_XL_APPROX",
+      "base_quant": "Q4_K_M",
+      "target_gb": 5.35,
+      "tensor_type_file": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q4_K_XL_APPROX.tensor-types.txt",
+      "output": "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/LFM-2.5-8B-1B-hermes-ft-Q4_K_XL_approx.gguf",
+      "command": [
+        "llama-quantize",
+        "--tensor-type-file",
+        "release_work/lfm25-moe8-mac-trainer/artifacts/gguf/xl_quant_policies/UD-Q4_K_XL_APPROX.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-ft-Q4_K_XL_approx.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"
+          }
+        ]
+      }
+    }
+  ]
+}

logs/bf16_llama_cli_load_smoke.log

@@ -0,0 +1,51 @@
+--no-conversation is not supported by llama-cli
+please use llama-completion instead
+
+Loading model... |-\|/-\|/ 
+
+
+▄▄ ▄▄
+██ ██
+██ ██  ▀▀█▄ ███▄███▄  ▀▀█▄    ▄████ ████▄ ████▄
+██ ██ ▄█▀██ ██ ██ ██ ▄█▀██    ██    ██ ██ ██ ██
+██ ██ ▀█▄██ ██ ██ ██ ▀█▄██ ██ ▀████ ████▀ ████▀
+                                    ██    ██
+                                    ▀▀    ▀▀
+
+build      : b1-399739d
+model      : LFM-2.5-8B-1B-hermes-ft-BF16.gguf
+modalities : text
+
+available commands:
+  /exit or Ctrl+C     stop or exit
+  /regen              regenerate the last response
+  /clear              clear the chat history
+  /read <file>        add a text file
+  /glob <pattern>     add text files using globbing pattern
+
+
+> Hello
+
+| Hello!
+
+[ Prompt: 14.9 t/s | Generation: 18.7 t/s ]
+
+Exiting...
+        2.09 real        11.69 user         1.05 sys
+         16949706752  maximum resident set size
+                   0  average shared memory size
+                   0  average unshared data size
+                   0  average unshared stack size
+             1045330  page reclaims
+                  24  page faults
+                   0  swaps
+                   0  block input operations
+                   0  block output operations
+                   0  messages sent
+                   0  messages received
+                   0  signals received
+                   2  voluntary context switches
+                 890  involuntary context switches
+         82676382461  instructions retired
+         49736947406  cycles elapsed
+            93581960  peak memory footprint

logs/imatrix_squeeze_fix.log

@@ -0,0 +1,160 @@
+0.00.045.004 I common_init_result: fitting params to device memory ...
+0.00.045.008 I common_init_result: (for bugs during this step try to reproduce them with -fit off, or provide --verbose logs if the bug only occurs with -fit on)
+0.00.807.205 W llama_context: n_ctx_seq (4096) < n_ctx_train (128000) -- the full capacity of the model will not be utilized
+0.00.817.570 I 
+0.00.817.587 I system_info: n_threads = 12 (n_threads_batch = 12) / 16 | MTL : EMBED_LIBRARY = 1 | CPU : NEON = 1 | ARM_FMA = 1 | FP16_VA = 1 | MATMUL_INT8 = 1 | DOTPROD = 1 | SME = 1 | ACCELERATE = 1 | REPACK = 1 | 
+0.00.817.588 I compute_imatrix: tokenizing the input ..
+0.00.933.415 I compute_imatrix: tokenization took 115.824 ms
+0.00.933.445 I compute_imatrix: computing over 32 chunks, n_ctx=4096, batch_size=2048, n_seq=1
+0.03.789.643 I compute_imatrix: 2.86 seconds per pass - ETA 1.52 minutes
+0.28.540.322 I 
+0.28.540.325 W save_imatrix: entry '               blk.21.ffn_up_exps.weight' has partial data (96.88%)
+0.28.540.325 W save_imatrix: entry '             blk.21.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.326 W save_imatrix: entry '             blk.20.ffn_down_exps.weight' has partial data (96.88%)
+0.28.540.327 W save_imatrix: entry '               blk.20.ffn_up_exps.weight' has partial data (96.88%)
+0.28.540.327 W save_imatrix: entry '             blk.19.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.327 W save_imatrix: entry '               blk.18.ffn_up_exps.weight' has partial data (96.88%)
+0.28.540.328 W save_imatrix: entry '             blk.21.ffn_down_exps.weight' has partial data (96.88%)
+0.28.540.328 W save_imatrix: entry '             blk.18.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.329 W save_imatrix: entry '               blk.19.ffn_up_exps.weight' has partial data (96.88%)
+0.28.540.330 W save_imatrix: entry '             blk.15.ffn_down_exps.weight' has partial data (96.88%)
+0.28.540.330 W save_imatrix: entry '             blk.14.ffn_gate_exps.weight' has partial data (93.75%)
+0.28.540.331 W save_imatrix: entry '              blk.9.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.332 W save_imatrix: entry '             blk.12.ffn_down_exps.weight' has partial data (96.88%)
+0.28.540.332 W save_imatrix: entry '             blk.11.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.333 W save_imatrix: entry '             blk.15.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.333 W save_imatrix: entry '             blk.10.ffn_down_exps.weight' has partial data (90.62%)
+0.28.540.333 W save_imatrix: entry '             blk.10.ffn_gate_exps.weight' has partial data (90.62%)
+0.28.540.334 W save_imatrix: entry '             blk.20.ffn_gate_exps.weight' has partial data (96.88%)
+0.28.540.334 W save_imatrix: entry '               blk.12.ffn_up_exps.weight' has partial data (96.88%)
+0.28.540.334 W save_imatrix: entry '             blk.11.ffn_down_exps.weight' has partial data (96.88%)
+0.28.540.336 W save_imatrix: entry '                blk.9.ffn_up_exps.weight' has partial data (96.88%)
+0.28.540.337 W save_imatrix: entry '               blk.15.ffn_up_exps.weight' has partial data (96.88%)
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+                   0  signals received
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+       1199614086989  instructions retired
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release_summary.json

@@ -1,62 +1,92 @@
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+  "notes": [
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+    "MLX fused and all llama.cpp XL approximation quants passed the 43-case parser-disabled fixed-Hermes suite.",
+    "GGUF XL quants are stock llama.cpp tensor-type-file/imatrix approximations, not byte-identical Unsloth Dynamic 2.0."
+  ]
 }