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llama.cpp: Add top_n_sigma, fix typical_p in sampler priority
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2 changed files with 5 additions and 2 deletions
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@ -66,6 +66,7 @@ class LlamaServer:
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"top_k": state["top_k"],
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"top_p": state["top_p"],
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"min_p": state["min_p"],
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"top_n_sigma": state["top_n_sigma"] if state["top_n_sigma"] > 0 else -1,
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"tfs_z": state["tfs"],
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"typical_p": state["typical_p"],
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"repeat_penalty": state["repetition_penalty"],
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@ -102,8 +103,10 @@ class LlamaServer:
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penalty_found = False
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for s in samplers:
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if s.strip() in ["dry", "top_k", "typ_p", "top_p", "min_p", "xtc", "temperature"]:
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if s.strip() in ["dry", "top_k", "top_p", "top_n_sigma", "min_p", "temperature", "xtc"]:
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filtered_samplers.append(s.strip())
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elif s.strip() == "typical_p":
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filtered_samplers.append("typ_p")
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elif not penalty_found and s.strip() == "repetition_penalty":
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filtered_samplers.append("penalties")
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penalty_found = True
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@ -52,7 +52,7 @@ def default_preset():
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if shared.args.portable:
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samplers = result['sampler_priority'].split('\n')
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samplers = [sampler for sampler in samplers if sampler in ["dry", "top_k", "typ_p", "top_p", "min_p", "xtc", "temperature", "repetition_penalty"]]
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samplers = [sampler for sampler in samplers if sampler in ["dry", "top_k", "top_p", "top_n_sigma", "min_p", "temperature", "xtc", "typical_p", "repetition_penalty"]]
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result['sampler_priority'] = '\n'.join(samplers)
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return result
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