Prism 1 Standard is the mid-tier member of the Prism 1 family — a set of
instruction-following language models tuned by TreeSoft for
deterministic compliance: reliably obeying the instructions it is given,
including instructions injected inline inside a prompt.
Standard is the balanced default of the range. It keeps the responsiveness of a
small model while following instructions markedly more reliably than Mini —
a clear step up in adherence, tone stability, and handling of multi-part and
hard-constraint instructions. The Pro tier improves again on Standard by a
good margin — see Model Family below.
Model Details
Model Description
Prism 1 Standard is a decoder-only causal language model fine-tuned (SFT with
LoRA via TRL) from a Qwen3.5-2B base. Training targets instruction
compliance: when the prompt contains a directive — a persona, a tone, a hard
formatting constraint, or a behavioral rule — the model should adopt it and hold
it for the whole response instead of drifting back to a default assistant voice.
The Prism tuning specifically hardens the model against inline instruction
injection, where a directive is embedded mid-prompt (for example, wrapped in
<i>...</i> markers) rather than placed in a system message. The intended
behavior is deterministic: the same instruction should produce the same class
of compliant behavior every time.
Developed by: TreeSoft
Model type: Decoder-only causal language model (Qwen3.5 architecture)
Language(s): Primarily English
License: TreeSoft Open Source License
Finetuned from: Qwen3.5-2B
Model Family
Model
Base
Approx. params
Position
Prism 1 Mini
Qwen3.5-0.8B
~0.75B
Fastest, lightest
Prism 1 Standard
Qwen3.5-2B
~1.9B
Balanced default — clearly beats Mini
Prism 1 Pro
Qwen3.5-4B
~4.2B
Clearly stronger again than Standard
Each step up the family is meaningfully more capable than the one below it by a
good margin — better instruction adherence, steadier tone, and cleaner handling
of multi-part and hard-constraint instructions. Standard sits in the middle:
noticeably more reliable than Mini, while Pro pushes compliance quality further
still.
Uses
Direct Use
Instruction- and persona-conditioned chat and generation
General-purpose assistant workloads that need dependable instruction adherence
Out-of-Scope Use
High-stakes factual, medical, legal, or financial decisions without review
Safety-critical automation with no human in the loop
Tasks needing the strongest available compliance — prefer Pro
Bias, Risks, and Limitations
Prism 1 Standard inherits the biases and knowledge gaps of its base. Because it
is tuned to comply with injected instructions, it will readily adopt personas or
constraints supplied in the prompt — including ones a downstream application may
not intend. Treat prompt-supplied instructions as untrusted input in multi-user
or tool-connected settings. On especially long or tightly-stacked multi-part
constraints, prefer Pro for the highest reliability.
Recommendations
Keep a human in the loop for consequential outputs, validate format constraints
programmatically when they matter, and sanitize untrusted text that reaches the
prompt.
How to Get Started
The easiest way to run Prism is through the official Prism repository:
It ships a ready-to-go CLI for chatting with the model, running one-shot
prompts, and everything else — just clone it, point it at Prism 1 Standard, and
go. Head over there to get started and run it locally.
Training Details
Training Data
Instruction-following data emphasizing compliance with directives — personas,
emotional tone, and hard behavioral/formatting constraints — including cases
where the directive is injected inline within the user prompt.
Training Procedure
Method: Supervised fine-tuning (SFT) with LoRA adapters via TRL, merged
into the released weights
Training regime: bf16 mixed precision
Technical Specifications
Model Architecture
Architecture: Qwen3_5ForCausalLM (hybrid linear + full attention, MTP head)
