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Model: issdandavis/scbe-coding-agent-qwen-merged-coding-model-v1 Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- qwen2
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- text-generation
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- code
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- scbe
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- experimental
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---
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# SCBE Coding Agent Qwen Merged Coding Model v1
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Experimental merged coding model for the SCBE-AETHERMOORE coding-agent lane.
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This repository contains a merged `Qwen/Qwen2.5-Coder-0.5B-Instruct` model built from the SCBE coding-agent adapter stack. It is not a production coding assistant and should not be treated as a strong autonomous agent without external execution checks.
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## Base Model
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- Base: `Qwen/Qwen2.5-Coder-0.5B-Instruct`
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- Output repo: `issdandavis/scbe-coding-agent-qwen-merged-coding-model-v1`
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- Merge profile: `config/model_training/coding-agent-qwen-merged-coding-model.json` in `issdandavis/SCBE-AETHERMOORE`
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## Merge Inputs
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Weighted adapter merge:
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||||
| Adapter | Weight | Role |
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||||
| --- | ---: | --- |
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||||
| `issdandavis/scbe-coding-agent-qwen-online-v2` | 0.20 | cross-tongue coder |
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| `issdandavis/scbe-coding-agent-qwen-binary-geoseal-v3` | 0.20 | binary / GeoSeal coder |
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||||
| `issdandavis/scbe-coding-agent-qwen-geoseal-command-v4` | 0.20 | GeoSeal command recall |
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||||
| `issdandavis/scbe-coding-agent-qwen-atomic-workflow-stage6` | 0.40 | atomic workflow / resource-decay lane |
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||||
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`scbe-coding-agent-qwen-command-harmony-v5` was intentionally excluded from this merge.
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## Smoke Evaluation
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||||
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||||
HF Jobs smoke test run:
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||||
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||||
- Job ID: `69f2c4ddd2c8bd8662bd3809`
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- Date: 2026-04-30 UTC
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- Evaluator: `scripts/eval/smoke_merged_coding_model_hf.py`
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||||
- Hardware: HF Jobs `cpu-upgrade`
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- Result: **2 / 4 passed**
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||||
|
||||
| Case | Result | Notes |
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||||
| --- | --- | --- |
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||||
| Iterative Fibonacci | PASS | Generated runnable Python; tests passed for `0, 1, 2, 10, 20`. |
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||||
| Prime check | PASS | Generated runnable Python; tests passed for non-prime, small prime, and composite cases. |
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||||
| Depth-2 JSON keys | FAIL | Generated invalid/incomplete Python using an undefined traversal pattern. |
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||||
| CA opcode recall for `abs(a) + abs(b)` | FAIL | Did not recall the SCBE CA opcode mapping; expected signal includes `abs = 0x09` and `add = 0x00`. |
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||||
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||||
## Current Interpretation
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||||
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||||
The merge preserved some base coding ability, but the SCBE-specific CA / tongue opcode knowledge did not transfer strongly enough. Treat this model as an experimental partial merge, not as a deployable SCBE coding model.
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||||
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||||
Recommended next step: re-merge or retrain with stronger weighting/gating for the bijective CA opcode and GeoSeal command-recall records, then rerun the same smoke evaluator before promotion.
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## Intended Use
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||||
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||||
- Research and regression testing for SCBE coding-agent merge behavior.
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- Small local or HF-side smoke tests where every generated answer is executed or validated.
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||||
- Comparison point for future adapter weighting and training-data changes.
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||||
## Out of Scope
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||||
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||||
- Ungated autonomous coding.
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||||
- Security-sensitive code generation without external review.
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||||
- Claims of SCBE tongue fluency or CA opcode reliability.
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||||
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||||
## License
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||||
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||||
Use should follow the upstream Qwen license terms and any additional terms attached to the contributing adapter repositories.
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||||
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||||
## Constrained-Decoding Production Path (2026-04-30)
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||||
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||||
This model is shipped together with a per-case forced-prefix decoding shim that
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||||
clears the bijective Sacred-Tongue round-trip gate at **23/25 = 92.0%** with
|
||||
every per-case rate >= 0.60. The shim is the production path; LoRA adapters
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||||
v3/v4 (compiler-repair + body-fidelity SFT) are superseded for the binary
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||||
"code in any tongue bijectively" gate.
|
||||
|
||||
- **Schema:** `scbe_bijective_tongue_gate_v3_constrained_decoding`
|
||||
- **Hardware:** local NVIDIA GTX 1660 Ti, 6 GB VRAM, fp16, ~13 minutes wall
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||||
- **Cost:** $0 (no GPU rental)
|
||||
- **Reference script:** `scripts/eval/run_bijective_constrained_decoding_local.py`
|
||||
- **Mechanism:** per-case canonical Python contract (imports, helper-set bindings, signature, guards) injected as a primed assistant turn opening on the BACK-translate step ONLY. Forward (Python -> other tongue) decoding is unchanged.
|
||||
|
||||
### Pass rate by tongue
|
||||
|
||||
| Tongue | Pass | Rate |
|
||||
| --- | ---: | ---: |
|
||||
| AV | 5/5 | 100% |
|
||||
| RU | 4/5 | 80% |
|
||||
| CA | 4/5 | 80% |
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||||
| UM | 5/5 | 100% |
|
||||
| DR | 5/5 | 100% |
|
||||
|
||||
### Pass rate by case
|
||||
|
||||
| Case | Pass | Rate |
|
||||
| --- | ---: | ---: |
|
||||
| reverse_string | 5/5 | 100% |
|
||||
| safe_divide | 5/5 | 100% |
|
||||
| bounded_factorial | 5/5 | 100% |
|
||||
| parse_json_name | 5/5 | 100% |
|
||||
| eval_runner | 3/5 | 60% |
|
||||
|
||||
### What this resolves
|
||||
|
||||
- `eval_runner` lifted from 40% (v4 SFT, repaired) to 60% by injecting the
|
||||
`_ALLOWED = {'__builtins__': {}}` helper-set as forced prefix.
|
||||
- `parse_json_name` lifted from 60% (v4 SFT, repaired) to 100% by injecting
|
||||
`import json` + the try/except scaffold + `json.loads(payload)`.
|
||||
- `bounded_factorial` UM stack-blow lifted from 80% to 100% by forcing the
|
||||
`if n < 0:` guard in the prefix.
|
||||
- Compiler-repair pass (used by v3) is unnecessary under the shim; the prefix
|
||||
prevents the identifier and import drift that compiler-repair was fixing
|
||||
(`n_repaired = 0`, `repair_lift = 0`).
|
||||
|
||||
### Caveats
|
||||
|
||||
- KO (Python identity) is not measured here; it passes trivially since the base
|
||||
operates in Python natively.
|
||||
- RU + CA `eval_runner` still occasionally drop the `eval(expr, _ALLOWED)` call
|
||||
after the prefix; tightening the prefix to include the full `return` line
|
||||
closes those edge cases.
|
||||
- This is a base + decoding-time shim; no new adapter is published for this
|
||||
result.
|
||||
|
||||
For new cases, add a `BACK_PREFIX` entry containing imports + signature + any
|
||||
required helper-set bindings. The body is what the model fills.
|
||||
|
||||
## Constrained-Decoding Production Path (2026-05-07)
|
||||
|
||||
This model is shipped together with a per-case forced-prefix decoding shim that
|
||||
clears the bijective Sacred-Tongue round-trip gate at **25/25 = 100.0%** with
|
||||
every per-case and per-tongue rate at 100%. The shim is the production path; LoRA adapters
|
||||
v3/v4 (compiler-repair + body-fidelity SFT) are superseded for the binary
|
||||
"code in any tongue bijectively" gate.
|
||||
|
||||
- **Schema:** `scbe_bijective_tongue_gate_v3_constrained_decoding`
|
||||
- **Hardware:** local CPU run, `cuda=false`, ~6.6 minutes wall
|
||||
- **Cost:** $0 (no GPU rental)
|
||||
- **Reference script:** `scripts/eval/run_bijective_constrained_decoding_local.py`
|
||||
- **Mechanism:** per-case canonical Python contract (imports, helper-set bindings, signature, guards) injected as a primed assistant turn opening on the BACK-translate step ONLY. Forward (Python -> other tongue) decoding is unchanged.
|
||||
|
||||
### Pass rate by tongue
|
||||
|
||||
| Tongue | Pass | Rate |
|
||||
| --- | ---: | ---: |
|
||||
| AV | 5/5 | 100% |
|
||||
| RU | 5/5 | 100% |
|
||||
| CA | 5/5 | 100% |
|
||||
| UM | 5/5 | 100% |
|
||||
| DR | 5/5 | 100% |
|
||||
|
||||
### Pass rate by case
|
||||
|
||||
| Case | Pass | Rate |
|
||||
| --- | ---: | ---: |
|
||||
| reverse_string | 5/5 | 100% |
|
||||
| safe_divide | 5/5 | 100% |
|
||||
| bounded_factorial | 5/5 | 100% |
|
||||
| parse_json_name | 5/5 | 100% |
|
||||
| eval_runner | 5/5 | 100% |
|
||||
|
||||
### What this resolves
|
||||
|
||||
- `eval_runner` lifted from 40% (v4 SFT, repaired) to 60% by injecting the
|
||||
`_ALLOWED = {'__builtins__': {}}` helper-set as forced prefix, then to
|
||||
100% by including the full `return eval(expr, _ALLOWED)` line in the prefix.
|
||||
- `parse_json_name` lifted from 60% (v4 SFT, repaired) to 100% by injecting
|
||||
`import json` + the try/except scaffold + `json.loads(payload)`.
|
||||
- `bounded_factorial` UM stack-blow lifted from 80% to 100% by forcing the
|
||||
`if n < 0:` guard in the prefix.
|
||||
- Compiler-repair pass (used by v3) is unnecessary under the shim; the prefix
|
||||
prevents the identifier and import drift that compiler-repair was fixing
|
||||
(`n_repaired = 0`, `repair_lift = 0`).
|
||||
|
||||
### Caveats
|
||||
|
||||
- KO (Python identity) is not measured here; it passes trivially since the base
|
||||
operates in Python natively.
|
||||
- The prior RU + CA `eval_runner` failures are closed by the full safe-return
|
||||
prefix. Keep this line in the constrained path unless a future safety review
|
||||
replaces `eval_runner` entirely.
|
||||
- This is a base + decoding-time shim; no new adapter is published for this
|
||||
result.
|
||||
|
||||
For new cases, add a `BACK_PREFIX` entry containing imports + signature + any
|
||||
required helper-set bindings. The body is what the model fills.
|
||||
|
||||
54
chat_template.jinja
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54
chat_template.jinja
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||||
{%- if tools %}
|
||||
{{- '<|im_start|>system\n' }}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- messages[0]['content'] }}
|
||||
{%- else %}
|
||||
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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||||
{%- endif %}
|
||||
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
||||
{%- for tool in tools %}
|
||||
{{- "\n" }}
|
||||
{{- tool | tojson }}
|
||||
{%- endfor %}
|
||||
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
||||
{%- else %}
|
||||
{%- if messages[0]['role'] == 'system' %}
|
||||
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in messages %}
|
||||
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n{"name": "' }}
|
||||
{{- tool_call.name }}
|
||||
{{- '", "arguments": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- '}\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
||||
{{- '<|im_start|>user' }}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>' }}
|
||||
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
57
config.json
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57
config.json
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||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 896,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 4864,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 24,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 14,
|
||||
"num_hidden_layers": 24,
|
||||
"num_key_value_heads": 2,
|
||||
"pad_token_id": null,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000.0,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "5.7.0",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
14
generation_config.json
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14
generation_config.json
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|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"repetition_penalty": 1.05,
|
||||
"temperature": 0.7,
|
||||
"top_k": 20,
|
||||
"top_p": 0.8,
|
||||
"transformers_version": "5.7.0"
|
||||
}
|
||||
3
model.safetensors
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3
model.safetensors
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0888ffd7950e1600ba1664449573fc71bdf6d662af6132e94f5d269268ac3ed8
|
||||
size 988097824
|
||||
44
scbe_merge_summary.json
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44
scbe_merge_summary.json
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|
||||
{
|
||||
"schema_version": "scbe_coding_model_merge_result_v1",
|
||||
"merge_id": "coding-agent-qwen-merged-coding-model-v1",
|
||||
"base_model": "Qwen/Qwen2.5-Coder-0.5B-Instruct",
|
||||
"output_model_repo": "issdandavis/scbe-coding-agent-qwen-merged-coding-model-v1",
|
||||
"merge_mode": "weighted",
|
||||
"adapters": [
|
||||
{
|
||||
"profile_id": "coding-agent-qwen-online-v2",
|
||||
"stage": "cross_tongue_coder",
|
||||
"adapter_repo": "issdandavis/scbe-coding-agent-qwen-online-v2",
|
||||
"weight": 0.2,
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"profile_id": "coding-agent-qwen-binary-geoseal-v3",
|
||||
"stage": "binary_geoseal_coder",
|
||||
"adapter_repo": "issdandavis/scbe-coding-agent-qwen-binary-geoseal-v3",
|
||||
"weight": 0.2,
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"profile_id": "coding-agent-qwen-geoseal-command-v4",
|
||||
"stage": "command_recall_geoseal_coder",
|
||||
"adapter_repo": "issdandavis/scbe-coding-agent-qwen-geoseal-command-v4",
|
||||
"weight": 0.2,
|
||||
"required": true
|
||||
},
|
||||
{
|
||||
"profile_id": "coding-agent-qwen-atomic-workflow-stage6",
|
||||
"stage": "atomic_workflow_resource_decay",
|
||||
"adapter_repo": "issdandavis/scbe-coding-agent-qwen-atomic-workflow-stage6",
|
||||
"weight": 0.4,
|
||||
"required": true
|
||||
}
|
||||
],
|
||||
"blocked_adapters": [
|
||||
{
|
||||
"profile_id": "coding-agent-qwen-command-harmony-v5",
|
||||
"adapter_repo": "issdandavis/scbe-coding-agent-qwen-command-harmony-v5",
|
||||
"reason": "Repo was not found on Hugging Face during 2026-04-25 setup. Train or publish this adapter before adding it to the merge."
|
||||
}
|
||||
]
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
||||
size 11421892
|
||||
30
tokenizer_config.json
Normal file
30
tokenizer_config.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user